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Marketstructure

Smart Gap & Support and Resistance Breakout [MarkitTick]💡 This technical analysis script provides a highly sophisticated framework for market structure mapping, gap categorization, and breakout validation. By tracking structural pivot points and combining them with algorithmic gap analysis, the indicator systematically identifies areas of significant price imbalance and evaluates their impact on subsequent price action. The tool dynamically maps historical and developing support and resistance levels across multiple timeframes, integrating volume analysis and time-decay functions to ensure only the most relevant structural levels remain active. Designed for robust technical evaluation, it utilizes a strict non-repainting architecture for its multi-timeframe data retrieval, ensuring historical integrity during retrospective analysis. ✨ Originality and Utility While many indicators plot basic support and resistance levels or highlight price gaps, this tool introduces a high degree of originality through its algorithmic synthesis and mashup methodology. The combination of structural pivot tracking and gap categorization is a deliberate and logical confluence. Gaps inherently represent sudden shifts in supply and demand, frequently acting as hidden support or resistance zones. By merging gap analysis with traditional pivot-based market structure, the script provides a unified view of market geometry. Furthermore, the script distinguishes itself by categorizing gaps dynamically into three distinct types: Breakaway, Runaway, and Exhaustion. Rather than treating all price voids equally, it applies contextual logic—such as trend maturity and volume confirmation—to evaluate the probabilistic nature of the gap. The utility is further enhanced by an advanced multi-timeframe engine that overlays macro structural levels onto the active chart without introducing lookahead bias, providing traders with a pristine, top-down analytical perspective within a single pane. 🔬 Methodology and Concepts ● Structural Pivot Detection The foundation of the script relies on identifying Swing Highs and Swing Lows. A Pivot High is established when a specific high price is preceded and followed by a defined number of lower highs. A Pivot Low is established when a specific low price is preceded and followed by a defined number of higher lows. These points act as the empirical anchors for drawing support and resistance lines. ● Gap Categorization Engine The script continuously scans for bullish and bearish price gaps (defined as a strict price void between the current low/high and the high/low of two bars prior, combined with directional candle confirmation). Once a gap exceeds the minimum size threshold, it is classified using the following methodology: Breakaway Gaps (BW): Identified if the gap's occurrence coincides with the breaking of the most recently established structural pivot level. This signifies a forceful escape from a prior consolidation or trend phase. Exhaustion Gaps (EX): Identified if the gap occurs after a prolonged trend duration (trend maturity) and is accompanied by a significant volume spike. This logic assumes that late-stage acceleration coupled with extreme volume often represents climatic buying or selling. Runaway Gaps (RW): Any valid gap that does not meet the strict criteria for Breakaway or Exhaustion is classified as Runaway, representing standard trend continuation. ● Non-Repainting Multi-Timeframe Integration To map higher timeframe (HTF) levels onto the lower timeframe (LTF) chart safely, the script employs a strict index-offset methodology. When fetching HTF pivot data, the script references the previous bar's calculated state while utilizing a lookahead parameter. This architectural design explicitly prevents future data leakage (lookahead bias), ensuring that historical backtesting and real-time execution behave identically. ● Breakout and Time-Decay Logic Support and resistance lines are evaluated for breakouts based on closing prices. A breakout is only considered valid if the closing price decisively crosses the level and, if volume confirmation is enabled, the breakout bar's volume exceeds the defined moving average threshold. To maintain a clean visual workspace, levels can be subjected to a time-decay function, removing them from the chart after a user-defined number of bars. 🎨 Visual Guide ● Support and Resistance Lines Green Lines: Represent active support levels derived from current timeframe pivot lows. Red Lines: Represent active resistance levels derived from current timeframe pivot highs. Thick Light Blue Lines: Highlight major support levels from the higher timeframe. Thick Orange Lines: Highlight major resistance levels from the higher timeframe. ● Market Structure Labels Red "HH" / "LH" Labels: Denote Higher Highs or Lower Highs at resistance pivots. Blue/Green "LL" / "HL" Labels: Denote Lower Lows or Higher Lows at support pivots. Purple "EH" / "EL" Labels: Indicate Equal Highs or Equal Lows. ● Gap Visualization Boxes Blue Boxes: Highlight Breakaway Gaps (BW). Orange Boxes: Highlight Runaway Gaps (RW). Red Boxes: Highlight Exhaustion Gaps (EX). Dotted Mid-Lines: Each gap box contains a dotted line calculating the exact mathematical midpoint of the gap, often acting as a highly reactive micro-level. ● Breakout Markers Green Upward Triangles (▲): Plotted below the price to indicate a confirmed breakout of a resistance level. The number indicates how many distinct resistance levels were broken on that bar. Red Downward Triangles (▼): Plotted above the price to indicate a confirmed breakdown of a support level. Cyan/Orange Triangles: Represent breakouts of higher timeframe (HTF) levels. 📖 How to Use ● Interpreting Gap Signals Breakaway Gaps: When a blue Breakaway gap forms, it suggests the initiation of a new directional phase. Traders typically monitor the borders of this gap to act as strong support or resistance upon any subsequent retests. Runaway Gaps: The appearance of an orange Runaway gap confirms underlying trend strength. The midpoint of these gaps (the dotted line) is often used to gauge short-term trend health. Exhaustion Gaps: A red Exhaustion gap serves as a cautionary signal. Because it indicates mature trend fatigue coupled with high volume, it suggests that the current directional momentum may be nearing a terminal phase or sharp retracement. ● Trading Support and Resistance Breakouts Structural Mapping: Use the dynamically drawn S/R lines to identify the boundaries of the current market range. Volume Confirmation: When the indicator plots a breakout triangle, ensure that it aligns with your broader directional bias. If the volume confirmation setting is active, the triangle inherently signifies that the breakout possessed above-average participation, increasing the mathematical probability of continuation. Multi-Timeframe Confluence: Pay special attention when current timeframe price action interacts with the thicker HTF lines. A breakout that fractures both a LTF and HTF resistance level simultaneously carries significantly more structural weight. ⚙️ Inputs and Settings ● Swing Logic Left Bars / Right Bars: Determines the number of bars required on either side of a candle to confirm a structural pivot. Higher values yield longer-term, more significant levels. Max Stored Levels: Controls how many historical S/R lines remain active on the chart to prevent visual clutter. Max Break Labels: Limits the number of historical breakout triangle markers displayed. ● Usability and Time Decay Multi-Timeframe: Allows overriding the base timeframe for calculations. Enable Time Decay: When activated, S/R levels that remain untested or unbroken will automatically expire and be removed from the chart. Decay Period (Bars): The specific threshold of bars after which an untested level is deleted. ● Higher Timeframe (HTF) Levels Enable HTF Levels: Toggles the calculation and plotting of macro S/R lines. HTF Timeframe: The target timeframe for macro structural analysis (e.g., Daily, Weekly). Hide Current TF When HTF Active: A visual filter to isolate only macro levels when desired. ● Algorithmic Filters and Analysis Volume Confirmation: When true, breakouts are only validated if the bar's volume exceeds a moving average. Min Gap Size (Points): Establishes a raw point threshold that a price void must exceed to be classified as a gap, filtering out negligible price skips. Volume Spike Multiplier: The factor by which current volume must exceed the average to trigger Exhaustion gap logic. Trend Maturity (Bars): The minimum number of bars a trend must have persisted from the last major pivot to allow for an Exhaustion gap classification. 🔍 Deconstruction of the Underlying Scientific and Academic Framework ● Auction Market Theory and Liquidity Voids The gap categorization matrix within this script is deeply rooted in Auction Market Theory (AMT). In AMT, price discovery is a continuous auction searching for liquidity. A gap represents a structural liquidity void—a pricing zone where no double-sided auction occurred due to extreme urgency from either buyers or sellers. The script's identification of Breakaway gaps mathematically isolates moments where this urgency successfully overcomes historical supply or demand nodes (the pivots). The dotted midpoint lines inside the gap boxes serve as theoretical "Fair Value" approximations for the void, representing the mean reversion target if the market attempts to repair the inefficient auction. ● Volume Spread Analysis (VSA) Integration The Exhaustion gap classification heavily relies on principles derived from Volume Spread Analysis. In VSA, volume represents the effort of market participants, while price spread represents the result. The script mathematically quantifies an anomaly: when an extended trend (measured by the Trend Maturity parameter) produces a sudden gap on extreme volume (measured by the Volume Spike Multiplier), it implies climactic transfer of inventory from strong hands to weak hands. The algorithmic detection of these specific variables provides a quantifiable method for identifying trend exhaustion without relying on lagging, bounded oscillators. ● Fractal Market Geometry By rendering both LTF and HTF structural pivots within the same visual plane, the script operationalizes the concept of fractal market geometry. Financial time series exhibit self-similarity across different scales. A pivot high on a 15-minute chart is formed by the same behavioral mechanics as a pivot high on a Daily chart, but they carry vastly different liquidity weights. The script's strict index-offset MTF architecture ensures that the geometric relationship between these distinct fractal layers is evaluated with absolute temporal accuracy, providing a mathematically sound representation of macro supply and demand overlaying micro price action. ⚠️ Disclaimer All provided scripts and indicators are strictly for educational exploration and must not be interpreted as financial advice or a recommendation to execute trades. I expressly disclaim all liability for any financial losses or damages that may result, directly or indirectly, from the reliance on or application of these tools. Market participation carries inherent risk where past performance never guarantees future returns, leaving all investment decisions and due diligence solely at your own discretion.
Indicador Pine Script®
por MarkitTick
2
Market Cycle Wave [Gabremoku]Market Cycle Wave is a price-based cycle indicator built to map broad market phases into a readable oscillator and a price-anchored overlay. Instead of relying on a single signal, the script combines trend, momentum, volatility, and range-position data into a composite cycle score. That score is normalized and smoothed to create an intermediate Cycle Wave, while a slower Secular line provides broader context. The script has two main views: - an oscillator pane with the score histogram, Cycle Wave, Secular baseline, and major Cycle Peak / Cycle Trough labels. - a price overlay with a cycle line, gradient aura, and a thinner secular context line. The regime model classifies market conditions into Debt Accumulation, Deleveraging, Reflation, and Transition. The goal is not to generate standalone buy/sell signals, but to help traders read where price may sit inside a broader market cycle structure. How to use it This indicator works best on broad indices and diversified equity ETFs, where cycle behavior is usually cleaner than on highly erratic single names. Typical use: - Daily chart: monitor intermediate cycle shifts - Weekly chart: study broader regime transitions Practical reading: - A rising blue cycle wave can suggest constructive expansion conditions - A yellow rollover after a mature advance can suggest a weakening cycle structure - Deep negative readings followed by green recovery can suggest reflation or post-stress repair - The secular line helps show whether the shorter cycle is moving with or against the broader backdrop The dashboard summarizes the current regime, state, direction, score, risk posture, and color legend directly on the chart. How it works The cycle model uses eight price-based factors: - Fast EMA vs slow EMA relationship - Fast EMA slope - RSI momentum regime - RSI extremes - Position inside the rolling yearly range - Distance from yearly extremes - ATR volatility regime - Price position vs the slow EMA Each factor contributes to a composite score. That score is then normalized, smoothed, and accumulated over a rolling memory window to build a bounded cycle wave around a midpoint. A second and slower baseline is built through longer smoothing to represent secular context. This creates two distinct layers: - Cycle Wave: the intermediate cycle, more reactive to market swings - Secular Baseline: the broader context, slower and less sensitive Recent Cycle Peak and Cycle Trough labels are pivot-based, so the latest labels need confirmation from future bars.
Indicador Pine Script®
por Gabremoku
Gabremoku CloudsGabremoku Clouds is a volume-driven equilibrium cloud built to highlight fair-value zones, directional acceptance, and compression/expansion phases in a cleaner and more forward-looking way than traditional cloud indicators. Instead of using classic Ichimoku spans or standard deviation bands, this script builds its structure around a custom volume-weighted equilibrium line and a surrounding cloud whose width is based on Volume-Weighted Average Spread (VWAS). The result is a cloud that reacts not only to price movement, but also to how price is distributed under volume, making it useful for reading consensus, imbalance, and market acceptance. A key idea behind this indicator is that not all price movement has the same meaning. When volume concentrates inside a tighter range, the cloud compresses and signals balance or consensus. When price expands with broader spread and weaker concentration, the cloud widens and reflects uncertainty or directional transition. This gives the indicator a different purpose from standard volatility envelopes: it is designed less as a generic overbought/oversold tool and more as a market structure and equilibrium map. The script also includes a 26-period forward projection of the equilibrium cloud. This projected area is calculated from current and historical information only, then shifted forward visually to provide a future reference zone without using lookahead logic. Its purpose is not to predict price in an absolute sense, but to suggest where balance may migrate next if the current slope and cloud conditions remain consistent. What it helps identify Trend acceptance when price holds above or below the cloud with supporting volume. Fair-value reclaims when price rotates back into equilibrium after displacement. Squeeze-to-expansion transitions when the cloud compresses and then releases into directional movement. Exhaustion when price reaches a fresh extreme while volume momentum decelerates. How to use it Use the current cloud to judge whether price is trading in balance, in directional acceptance, or in transition. Use the projected cloud as a forward reference area for continuation, reversion, or future balance. Treat the signals as contextual tools, not standalone trade instructions. They work best when combined with price structure, market context, and risk management. What is new Gabremoku Clouds is not a mashup of existing tools. Its core logic is built around a custom equilibrium model that combines volume-weighted price location with volume-weighted spread behavior, then extends that structure into a forward cloud projection. The goal is to give traders a more informative cloud: one that reflects where value is forming now, how stable that value is, and where it may shift next.
Indicador Pine Script®
por Gabremoku
Micro Harmonic Swing Rhythm Meter + Structure PanelMicro Harmonic Swing Rhythm Meter Overview Inspired by the observation that markets often oscillate in recurring harmonic swings of both price and time. The Micro Harmonic Swing Rhythm Meter is a market structure and rhythm analysis tool designed to identify recurring swing behavior in price action. Rather than focusing on traditional indicators such as momentum, trend, or overbought/oversold conditions, this indicator measures the repeating "heartbeat" of the market by tracking swing size, swing duration, and the evolving rhythm between successive price pivots. The objective is not to predict price, but to monitor whether the current auction process remains stable, is compressing, expanding, or becoming exhausted. Core Concepts Every market exhibits recurring oscillations. These oscillations often develop with similar: * Price amplitude * Swing duration * Expansion and contraction cycles The indicator automatically detects swing pivots and measures: * Swing Size * Swing Duration * Average Swing Size * Average Swing Duration * Swing Efficiency * Market Rhythm State By comparing the current swing against recent averages, the indicator evaluates whether price action remains in harmony with its established rhythm. Rhythm States NORMAL Current swing size and duration remain close to recent averages. Interpretation: * Stable auction * Balanced market conditions * Established rhythm remains intact COMPRESSED Current swing size and duration are smaller than average. Interpretation: * Energy accumulation * Contracting auction * Potential precursor to expansion STRETCHED Current swing size and duration exceed recent averages. Interpretation: * Expansion phase * Strong directional movement * Possible acceleration or exhaustion MIXED Price amplitude and swing duration are no longer synchronized. Interpretation: * Transitional market behavior * Changing auction structure * Reduced rhythm consistency Market Structure Assessment The indicator automatically classifies recent swing behavior into higher-order structure states. Possible structure classifications include: Balanced Rotation Stable oscillatory conditions. Trade Mode: Range Mode Compression / Coiling Multiple compressed swings indicate energy accumulation. Trade Mode: Breakout Watch Expansion Attempt Expansion emerges following a period of compression. Trade Mode: Confirm Breakout Exhaustion Risk Repeated stretched swings suggest mature directional movement. Trade Mode: Caution Unstable Auction Excessive mixed swings indicate poor rhythm consistency. Trade Mode: Wait Efficiency Metric Efficiency is calculated as: Average Swing Size ÷ Average Swing Duration This metric measures how much distance price is covering per unit of time. Rising efficiency often indicates increasing participation and directional conviction. Falling efficiency often indicates slowing market activity and declining momentum. Intended Usage This indicator is designed primarily as a market state monitor rather than a signal generator. It may be used alongside: * Price action analysis * Volume analysis * Order flow tools * VWAP frameworks * Market profile * Liquidity analysis The indicator is particularly useful for identifying: * Compression before expansion * Changes in auction rhythm * Developing directional impulses * Potential exhaustion conditions Recommended Workflow Higher timeframes may be used to determine dominant market structure while lower timeframes are used for execution. Example: 30-minute chart: Market structure and session rhythm 5-minute chart: Tactical structure 1-minute chart: Execution and timing This multi-timeframe approach allows traders to align lower timeframe opportunities with higher timeframe rhythm conditions. Disclaimer This indicator is designed to assist with market observation and structure analysis. It does not provide trading advice and should not be interpreted as a standalone buy or sell signal.
Indicador Pine Script®
por AMTrader
Structure Bias [FlowForge]Know the structural direction on two timeframes before you trade. Structure Bias monitors market structure simultaneously on a higher and a lower timeframe, classifies each structural event in real time, and combines both readings into a single directional verdict. It answers the question most traders try to resolve by eye: are both timeframes pointing the same way? ─────────────────── DUAL-TIMEFRAME STRUCTURE DETECTION The indicator evaluates confirmed swings on both configured timeframes independently. Each time price clears a prior confirmed swing, the event is classified by whether it aligns with the existing directional trend or breaks against it. A Break of Structure signals that the prevailing trend is continuing: price has extended beyond a prior swing in the same direction. A Change of Character signals a potential bias shift: price has broken a prior swing against the existing trend for the first time, indicating the directional bias may be reversing. Both readings update independently per timeframe so you always have a clear picture of where each one stands. ─────────────────── ALIGNED BIAS SUMMARY The bottom row of the dashboard synthesizes both timeframe readings into a single verdict. When the higher and lower timeframe both report the same structural direction, the row shows a confirmed aligned bias. When they conflict, it shows Mixed, flagging a structurally undecided market where lower-conviction conditions apply. The most recently updated dashboard row is highlighted automatically so you can see at a glance which event is freshest. ─────────────────── LIVE DASHBOARD A compact two-column table delivers the complete structural picture without adding clutter to the chart. ✥ Higher timeframe CHoCH: current Change of Character reading and direction ✥ Higher timeframe BOS: current Break of Structure reading and direction ✥ Lower timeframe CHoCH: same for your trading timeframe ✥ Lower timeframe BOS: same for your trading timeframe ✥ Overall Bias: aligned directional read, or Mixed when timeframes conflict ✥ Most recent structural event highlighted automatically ─────────────────── HOW TO USE Add the indicator to your chart and configure the two timeframes to match your setup. A common starting point is your trading timeframe as the lower and one step above it as the higher. Read the four structure rows to understand what each timeframe is doing independently. Then look at the Overall Bias row as your directional filter: a confirmed aligned reading means both timeframes agree, which is the condition most traders treat as higher-conviction. A Mixed reading means the two timeframes disagree and the structural context is less clear. Use the CHoCH alerts to be notified when the lower timeframe bias flips; use the BOS alerts when a continuation move is confirmed. Use the Aligned variants when you only want signals under full dual-timeframe agreement. ─────────────────── ALERTS Seven alert conditions, all firing on confirmed closed bars only. ✥ Bullish CHoCH: lower timeframe bias flipped to long ✥ Bearish CHoCH: lower timeframe bias flipped to short ✥ Bullish BOS: lower timeframe uptrend continuation confirmed ✥ Bearish BOS: lower timeframe downtrend continuation confirmed ✥ Aligned BOS Bullish: both timeframes aligned, bullish continuation ✥ Aligned BOS Bearish: both timeframes aligned, bearish continuation ✥ Aligned CHoCH: both timeframes aligned, high-confluence bias flip ─────────────────── CUSTOMIZATION ✥ Higher and lower timeframes: configurable independently ✥ Swing sensitivity: adjustable lookback depth for coarser or finer structure ✥ Dashboard position: four corner options ✥ Text size: four sizes ✥ Twenty color themes ─────────────────── THEMES Twenty palettes are available. Four samples are shown below covering the default and three contrasting options. All twenty are accessible from the Theme input in the script settings. Colorful (default) Vivid Copper Ember
Indicador Pine Script®
por FlowForge
Market Structure (BOS / CHOCH), Advanced & ImprovedMarket Structure (BOS / CHOCH) A clean, dual-layer market structure tool that labels Break of Structure and Change of Character from a single, internally consistent trend engine, then projects the resting liquidity those swings leave behind. The core idea BOS and CHOCH are the same break. What separates them is direction relative to the current trend, so this script tracks one trend state and derives the label from it: BOS (Break of Structure) : price breaks a swing level in the direction of the trend. Continuation. CHOCH (Change of Character) : price breaks a swing level against the trend. Reversal, and it flips the trend state. Because both signals come from one state machine, you never get contradictory labels: a break with the trend is always BOS, a break against it is always CHOCH. Dual-layer structure The engine runs twice at the same time: Swing structure (longer pivot length) : the major skeleton, drawn bold, with trailing watched-level lines and HH / HL / LH / LL swing labels. Internal structure (shorter pivot length) : the minor continuation breaks inside each swing leg, drawn thin and faded so they read as secondary. This lets you see a minor bullish BOS unfolding inside a major downtrend, which is the context most single-length tools miss. Liquidity pools Every unbroken swing high (buy-side) and swing low (sell-side) is projected to the right as a resting liquidity line, and removed the moment price wicks through it. What stays on screen is only live, untaken liquidity, the levels most likely to be targeted next. Features BOS / CHOCH detection with a single coherent trend state Dual-layer swing and internal structure Trailing lines marking the exact levels currently being watched HH / HL / LH / LL swing labels, color coded by structural meaning Buy-side and sell-side liquidity pools with auto removal on sweep Top-right trend table showing the swing and internal trend state Close or Wick break confirmation Eight alert conditions: swing and internal, BOS and CHOCH, bullish and bearish Inputs Swing length and Internal length : pivot lookback for each layer. Lower values catch more structure, higher values show only major moves. Break confirmation : Close requires a close beyond the level, Wick accepts any wick beyond it. Toggles for BOS, CHOCH, active levels, swing labels, liquidity, internal layer and the trend table. How to use Trade with the swing trend, use internal CHOCH for early reversal warnings and internal BOS for continuation entries. Watch the liquidity pools as targets, a sweep of one followed by a CHOCH in the opposite direction is a classic reversal setup. Tune the swing length to your timeframe so the major structure matches the moves you actually trade. Notes Swing pivots confirm a fixed number of bars after they print, which is inherent to all structure tools and not repainting. On the live, unclosed bar a break can update until the bar closes, so set alerts to "Once Per Bar Close" for confirmed signals. This script is a market analysis tool, not financial advice. Always do your own research and manage risk.
Indicador Pine Script®
por Confluencer
Structure Decision Engine [AlgoPoint]Structure Decision Engine uses a dual-layer market structure framework to detect Break of Structure (BOS), Change of Character (CHoCH), and liquidity sweeps — then evaluates every signal through a multi-factor quality engine that assigns a Trade Permission (ON/OFF). Unlike basic structure indicators that only draw lines, this engine thinks like a trader: is the structure aligned? Is the HTF bias confirming? Are we in premium or discount? Was there a recent liquidity sweep? Each factor contributes to a 0-100 Quality Score, and only setups above the threshold get trade permission. 🔹 THREE VISUAL MODES Decision — Clean view showing only active trade signals, Decision Card dashboard, and structure zones. Minimal noise. Analysis — Full structure view with BOS/CHoCH markers, liquidity sweep labels (BSL/SSL), external levels, and Premium/Discount cloud. Debug — Every internal and external swing labeled. All levels visible. Use this to tune the lookback and filter parameters to your asset. 🔹 DUAL-LAYER STRUCTURE Internal Structure — Short-term swing highs/lows with configurable lookback. Detects BOS and CHoCH for entry timing. External Structure — Longer-term swing points defining the macro trend. Provides bias context and Premium/Discount range. 🔹 QUALITY ENGINE (0-100) Each signal is scored on 7 dimensions: • Body Ratio — how decisive is the breakout candle • Displacement — how far did price close beyond the structure level • Volume Confirmation — was volume elevated at the break • Sweep Recency — was there a liquidity sweep before the break • Structure Alignment — does the signal agree with external trend • HTF Bias — does the higher timeframe EMA confirm direction • Zone Position — is price in Premium (sell) or Discount (buy) zone Grade scale: 85+ = A+, 75+ = A, 65+ = B, 50+ = C, below = D. 🔹 TRADE PERMISSION Signals receive ON (take the trade) or OFF (stand aside) based on quality threshold, structure alignment, HTF bias, and chop filter. Each OFF signal shows the specific reason: "Quality below threshold," "Against external structure," "Against HTF bias," or "Choppy." 🔹 ACTIVE PLAN TRACKER After a valid signal, the engine projects: • Retest Zone — the area where price should retest the broken level • Invalidation Level — where the setup is void • Target — nearest opposing structure level • Status — Waiting Retest → Retest Hit → Target Hit / Invalidated All projected as visual boxes and lines extending forward. 🔹 LIQUIDITY SWEEPS Detects Buy-Side Liquidity (BSL) sweeps and Sell-Side Liquidity (SSL) sweeps on internal structure levels. Sweeps within the validity window boost the Quality Score by 20 points. 🔹 MARKET MODE CLASSIFICATION Combines internal and external structure states to determine the current market mode: Bullish Trend, Bearish Trend, Bullish Pullback, Bearish Pullback, Neutral, or No-Trade (choppy/compressed). 🔹 DECISION CARD DASHBOARD Real-time panel showing: External Bias, Market Mode, Last Setup, Quality Score/Grade, Trade Permission, Zone (Premium/Discount), Recent Sweep, and Plan Status. 🔹 FEATURES • 1100+ lines of professional Pine Script • Dual-layer swing detection (Internal + External) • BOS, CHoCH, BSL/SSL sweep detection • 7-factor Quality Score with letter grade • Trade Permission engine with reason codes • Active Plan projection (Retest / Invalidation / Target) • Premium/Discount cloud based on external range • HTF bias filter (multi-timeframe EMA) • Chop / no-trade zone detection • Three visual modes for different workflows • Dynamic alerts with full signal context • 20+ customizable parameters • No repainting The Structure Decision Engine is an analysis framework — it does not predict price or guarantee outcomes.
Indicador Pine Script®
por Iamalala
Price Pulse Oscillator [Live Stochastic Rhythm]Price Pulse Oscillator Overview The Price Pulse Oscillator was designed to monitor the internal state of price action rather than simply identify overbought or oversold conditions. While traditional oscillators such as RSI, Stochastic, and MACD focus primarily on where price is relative to recent history, the Price Pulse Oscillator attempts to answer a different question: How is price behaving internally right now? The indicator continuously monitors the relationship between four structural components: Pulse Position Pulse Velocity Pulse Acceleration Compression / Expansion State Together these elements provide a dynamic view of market behavior, allowing traders to observe transitions in momentum, participation, and volatility before they become obvious in price structure itself. The goal is not to generate buy and sell signals. The goal is to monitor the evolving state of the market. The Philosophy Behind The Indicator: Markets rarely move from one state to another instantly. Before a breakout occurs: volatility often contracts, momentum begins to stabilize, acceleration starts to shift, internal pressure gradually builds. Similarly, before trends exhaust: momentum begins to weaken, acceleration deteriorates, expansion loses force, price continues moving largely through inertia. The Price Pulse Oscillator was built to visualize these transitions. Rather than focusing on the final outcome, the indicator focuses on the process leading to that outcome. Components 1. Live Pulse (Blue Line) The Live Pulse measures where current price sits within its recent trading range. Conceptually it functions similarly to a stochastic oscillator but is continuously updated as the active candle develops. The Pulse provides a real-time representation of market positioning: High values indicate price is trading near recent highs. Low values indicate price is trading near recent lows. Mid-range values indicate equilibrium. The Pulse itself is not intended to be a signal. Instead, it serves as the foundation from which the indicator's higher-order information is derived. 2. Signal Line (Red Line) The Signal Line is a smoothed version of the Live Pulse. Its purpose is to create a reference against which changes in market rhythm can be evaluated. Traditional crossover logic can be applied, but the indicator is most effective when analyzing: the speed of the crossover, the angle of the crossover, the compression state surrounding the crossover, and the behavior of velocity and acceleration during the crossover. In many cases, how the crossover occurs contains more information than the crossover itself. 3. Velocity (Black Line) Velocity measures the rate of change of the Pulse. In simple terms: Velocity shows how quickly market pressure is changing. Positive velocity suggests increasing bullish pressure. Negative velocity suggests increasing bearish pressure. Velocity often begins shifting before price visibly breaks out of a consolidation structure. For this reason it can be viewed as a measure of directional participation. 4. Acceleration (Magenta Line) Acceleration measures the rate of change of Velocity. In simple terms: Acceleration shows whether momentum itself is strengthening or weakening. This is often one of the earliest components to shift. Acceleration may begin rising while price remains range-bound and before Velocity has fully turned. For this reason it can serve as an early indication that market conditions are changing beneath the surface. A useful way to think about the hierarchy is: Acceleration → Velocity → Price Changes frequently appear in this order. 5. Compression / Expansion Histogram The histogram measures the degree of compression or expansion occurring within the Pulse itself. High histogram readings indicate: reduced internal oscillation, consolidation, volatility contraction, energy storage. Low histogram readings indicate: expansion, volatility release, active directional movement. The histogram should not be viewed as bullish or bearish. Instead it provides context regarding whether the market is currently storing energy or releasing energy. Market States The Price Pulse Oscillator is particularly useful when identifying transitions between market states. Compression State Characteristics: High compression histogram Flattening Pulse Declining Velocity Stabilizing Acceleration Interpretation: The market is entering equilibrium. Directional conviction is temporarily reduced. Energy is being stored. These conditions frequently precede significant expansion phases. Ignition State Characteristics: Compression begins declining Velocity turns higher Acceleration rises sharply Pulse crosses Signal Interpretation: Stored energy is beginning to release. The market is transitioning from equilibrium toward expansion. Expansion State Characteristics: Compression continues declining Velocity remains elevated Pulse remains above or below Signal Acceleration remains positive Interpretation: Directional movement is strengthening. Participation is increasing. The trend is actively expanding. Mature Expansion State Characteristics: Compression remains low Velocity begins flattening Acceleration weakens Price continues trending Interpretation: The trend remains intact but internal force is beginning to fade. Expansion may continue, but participation is no longer strengthening. Exhaustion State Characteristics: Compression fully released Velocity declining Acceleration negative Pulse remains extended Interpretation: The market may be approaching a local high or low. Price can still move further, but internal momentum is deteriorating. Suggested Usage The Price Pulse Oscillator is not intended to replace price action analysis. Instead it is designed to complement: Market Structure Volume Analysis VWAP Frameworks Order Flow Market Profile Bookmap Liquidity Analysis The indicator is most effective when used as a continuous market condition monitor. Rather than asking: "Should I buy or sell?" the indicator encourages a different question: "What state is the market currently in?" By focusing on transitions between compression, expansion, and exhaustion, traders can develop a deeper understanding of the rhythm and internal mechanics driving price movement. Key Principle The Price Pulse Oscillator is not designed to predict price. It is designed to monitor the changing state of price action in real time. Its primary purpose is to reveal the evolving rhythm, force, and compression of the market as they develop.
Indicador Pine Script®
por AMTrader
Volume Delta Scanner [ZynAlgo]Real-Time Alert System Provides alerts when divergence conditions are detected. Input Settings 1. Volume Flow Normalization Normalization Lookback Range Defines the historical range used to normalize volume data. Lower values: Increase sensitivity React faster to short-term changes Higher values: Provide more stability Are better suited for larger market structures Compute Flow Divergence Matrix Enables or disables the divergence detection engine. Volume Delta Lower Timeframe Defines the lower timeframe used for internal delta calculations. Examples: 15 minute chart: 1 minute delta 5 minute chart: 15 second or 1 minute delta Cumulative Volume Delta Period Controls the accumulation range used for cumulative delta analysis. 2. Divergence Pivot Architecture Pivot Scanner Lookback Left Defines the strength requirement for the left side of a pivot structure. Higher values: Produce fewer signals Create stronger structural pivots Pivot Scanner Lookback Right Defines the confirmation bars required on the right side of the pivot. Lower values: Generate faster signals Provide earlier but more sensitive confirmation Higher values: Provide stronger confirmation Create slower but more selective divergence detection Maximum Structural Bar Spacing Defines the maximum distance allowed between pivot structures. Minimum Structural Bar Spacing Defines the minimum distance allowed between pivot structures. Signal Interpretation Bullish Divergence Bullish divergence occurs when price forms a lower low while participation behind the move begins to weaken. This often reflects: Decreasing selling pressure Trend exhaustion Possible absorption activity within the market The indicator displays an upward divergence marker on the chart, along with volume and delta data at the divergence zone. Bullish divergence example: Bearish Divergence Bearish divergence occurs when price forms a higher high while participation behind the move begins to weaken. This often reflects: Buyer weakness Weakening momentum Possible distribution behavior The indicator displays a downward divergence marker on the chart, along with volume and delta data at the divergence zone. Bearish divergence example: Volume and Delta Metrics Each divergence signal includes: Total volume Delta value Participation direction This helps traders: Evaluate divergence quality Analyze internal pressure Observe the strength of market participation Metrics example: Recommended Usage The indicator may be useful during: Trend exhaustion Liquidity sweeps Failed breakouts Market reversals Distribution or accumulation phases Weak continuation structures Recommended Confluence To improve analysis quality, the system can be combined with: Market structure Liquidity zones Support and resistance Session timing Delta confirmation Absorption analysis Trend context How to Use Add the indicator to the chart. Select a normalization lookback suited to the market and timeframe. Choose a lower timeframe for delta calculations. Adjust pivot lookback settings based on how selective the divergence detection should be. Watch for bullish or bearish divergence markers at structural pivots. Review the displayed volume and delta metrics at the divergence zone. Confirm divergence with broader market structure, liquidity, trend context, and risk planning. Limitations Divergence is an analysis condition, not a guaranteed reversal signal. Signals depend on structural pivot confirmation and may appear later when stronger confirmation settings are used. Lower timeframe delta calculations depend on the data available for the symbol and timeframe. Volume and delta behavior can weaken before price reverses, consolidates, or continues. The indicator does not provide automatic trade entries, exits, or position management. Past divergence behavior does not guarantee future results. Important Note This indicator is an analysis tool only. It does not provide financial advice, investment advice, or guaranteed trading results. Users are responsible for their own trading decisions and risk management.
Indicador Pine Script®
por ZynAlgo
ZigZag Pro [ZynAlgo]Overview ZynAlgo ZigZag Pro is a structural market analysis indicator designed to help traders visualize market swings, directional transitions, and structural formations through a dynamic ZigZag-based engine. Unlike traditional ZigZag indicators that only connect highs and lows mechanically, ZynAlgo ZigZag Pro focuses on: Market structure recognition Swing transition analysis Real-time wave adaptation Structural labeling using HH, HL, LH, and LL Trend environment visualization The system is designed to simplify chart reading while maintaining a clear view of directional flow and structural momentum. Chart example: Core Purpose The indicator is built to help traders: Detect trend continuation structures Identify possible reversal transitions Visualize bullish and bearish wave cycles Understand higher highs and lower lows clearly Reduce chart noise through structural filtering Support discretionary market analysis ZynAlgo ZigZag Pro is not intended to function as an automatic entry system. It acts as a market structure framework that supports broader trading analysis. Structural Logic The indicator continuously scans price movement and attempts to identify meaningful swing transitions based on: Price deviation Structural depth Swing confirmation Historical anchor comparison The system then classifies new swing points into four major structural categories: Structure example: HH - Higher High A Higher High occurs when price creates a new swing high above the previous structural high. This generally reflects: Bullish continuation Strong upward pressure Expanding bullish momentum HL - Higher Low A Higher Low occurs when price creates a higher swing low relative to the previous structural low. This often reflects: Bullish retracement Trend maintenance Buyer support holding structure LH - Lower High A Lower High occurs when price forms a lower swing high beneath the previous structural high. This may indicate: Weakening bullish momentum Bearish pressure entering the market Potential transition into bearish structure LL - Lower Low A Lower Low occurs when price creates a new swing low beneath the previous structural low. This generally reflects: Bearish continuation Strong downward pressure Expanding bearish momentum System Components The indicator is divided into multiple configurable sections so traders can customize the behavior and appearance of the structural engine. 1. Core Algorithm Engine This section controls how the ZigZag engine interprets market structure. Scanning Depth
Indicador Pine Script®
por ZynAlgo
Kinetic Action Pro [ZynAlgo]Overview ZynAlgo Kinetic Action Signal is a volume, liquidity, and market-reaction indicator designed to help traders study important participation zones on the chart. The script combines volume distribution, delta-flow pressure, historical reaction anchors, and reaction-based signal conditions so users can evaluate how price behaves around liquidity concentration areas. It is designed to assist with: Identifying major volume concentration zones Monitoring possible support and resistance reaction areas Evaluating bullish or bearish pressure using delta-flow behavior Observing price reactions around dynamic liquidity zones Displaying reaction-based buy and sell signals This script does not predict exact reversal points. It is an analysis tool that highlights areas where price, volume, and reaction behavior may be important. Main Components The indicator is built around four main components: Kinetic Volume Profile Engine Institutional Anchor Tracking Delta Flow Analysis Real-Time Reaction Signal Engine 1. Kinetic Volume Profile Engine The Kinetic Volume Profile Engine scans price and volume activity across the selected analysis range. It divides the price range into multiple profile layers and evaluates volume concentration within each layer. These layers help visualize where market participation has been stronger or weaker. Instead of using a traditional horizontal histogram only, the script displays a curved kinetic wave structure to represent: Volume density Liquidity concentration Directional pressure Stronger market participation zones Areas with higher volume density may indicate zones where the market has previously accepted price or where stronger participation occurred. Kinetic profile example: Volume structure example: 2. Institutional Anchor Tracking The script tracks pivot highs, pivot lows, and structural turning points. These pivot zones are used as anchor levels. Anchors help mark areas where price has previously reacted and where support or resistance behavior may appear again. Anchor zones may represent: Historical reaction levels Support floors Resistance ceilings Liquidity memory areas Previous supply or demand zones When volume density overlaps with anchor areas, the script highlights those zones as areas worth monitoring. 3. Delta Flow Analysis The indicator analyzes positive volume flow, negative volume flow, and net delta accumulation. When delta accumulation is positive, the script interprets current pressure as bullish. When delta accumulation is negative, the script interprets current pressure as bearish. The kinetic structure changes color according to the dominant pressure condition, helping traders visually identify whether bullish or bearish flow is stronger in the selected range. Delta flow example: 4. Real-Time Reaction Signal Engine The reaction signal engine looks for price behavior around support floors and resistance ceilings. A buy signal may appear when: Price touches or reacts near a floor liquidity zone Bullish rejection behavior appears The candle closes bullish above the support area A sell signal may appear when: Price touches or reacts near a ceiling resistance zone Bearish rejection behavior appears The candle closes bearish below the resistance area The signal logic is based on reaction behavior around liquidity areas. It is not designed as a simple breakout system. Reaction signal example: Core Point of Control Logic The Core PoC, or Point of Control, represents the strongest volume concentration zone within the selected kinetic structure. This is the area where the highest amount of volume activity occurred within the scanned range. The Core PoC may help traders identify: Major market acceptance zones Possible equilibrium areas Important liquidity concentration levels Zones where price may react or consolidate The Core PoC is displayed as a dynamic horizontal line and changes color based on the current directional pressure. Anchor Types Ceiling Anchors Ceiling anchors represent upper reaction zones. They may act as: Resistance areas Bearish rejection zones Supply liquidity areas Previous pivot-high reaction levels Ceiling anchors are displayed using Neon Pink. Floor Anchors Floor anchors represent lower reaction zones. They may act as: Support areas Bullish reaction zones Demand liquidity areas Previous pivot-low reaction levels Floor anchors are displayed using Neon Cyan. Breakout Cleanup Logic The script automatically removes anchor zones that become invalid after price fully breaks through them. For example: If price closes below a floor anchor, that floor may be removed If price closes above a ceiling anchor, that ceiling may be removed This helps keep the chart cleaner and allows the script to focus on active reaction zones instead of outdated levels. Inputs and Settings Kinetic Scan Period Controls how many candles are used for kinetic profile scanning. Lower values create a faster and more short-term profile. Higher values create a broader profile that represents a longer analysis range. Profile Resolution Controls the number of volume layers used in the profile structure. Lower values create a smoother profile with less detail. Higher values create a more detailed profile with more precise volume zones. Display Core PoC Line Shows or hides the main Point of Control line. Display Flow Anchors Shows or hides floor and ceiling anchor zones. Anchor Search Length Controls the pivot sensitivity used to detect anchor zones. Lower values create more frequent anchors. Higher values create fewer but stronger structural anchors. Anchor Filter % Controls the minimum volume-density requirement used to display anchor tags. Lower values show more zones. Higher values show only stronger liquidity zones.
Indicador Pine Script®
por ZynAlgo
Parallel Transport & Holonomy [DAFE]Parallel Transport & Holonomy - (⟡ PTH) This publication presents the quantitative mechanics and theoretical architecture behind the Parallel Transport & Holonomy engine. This system models price and volume dynamics as trajectories on a continuous two-dimensional manifold. By computing the parallel transport of multi-scale momentum vectors, tracking their covariant derivatives, and integrating their path-dependent rotational deficit ( Holonomy ), the indicator identifies macro regime shifts, structural pivots, and trend continuations. The architecture is entirely self-contained, featuring a Legit Footprint Toggle that automatically falls back to an advanced Synthetic Footprint Engine when tick-level footprint data is unavailable. It is strictly anchored by a Rolling Confidence Matrix (RCM) and modulated by an Ensemble Dynamic Volatility Scaling (DVS) engine. The core principle of this system is geometric invariance: signal evaluation is not based on static, lagging thresholds but on the coordinate-invariant deviation of momentum from its natural geodesic path. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Riemannian Price-Volume Manifold & Metric Tensor ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ We define the market state as a coordinate point on a two-dimensional Riemannian manifold M, where the coordinates are: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Parallel Transport & Covariant Derivatives ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Let V be a momentum vector on the tangent space of the manifold, constructed at three distinct temporal scales: Fast (vecFast), Medium (vecMed), and Slow (vecSlow). The coordinate components of the vector scale k are computed as: Geodesic Deviation A path is geodesic if its covariant derivative along the direction of travel is zero (representing the path of least resistance on the manifold). We define the geodesic deviation Zgeodesic as the rolling z-score of the absolute transport deviation: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Holonomy & Phase Accumulation ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Holonomy describes the geometric phenomenon where parallel transporting a vector along a closed loop returns a vector with a changed orientation. This angular deficit directly measures the total curvature enclosed by the loop. Holonomy Group Classifications Based on the magnitude of the accumulated rotation (HolonomyNorm), the local coordinate space is classified into four geometric groups: Trivial (Norm<0.10): The manifold is flat; parallel transport is path-independent, indicating quiet consolidated ranges. Abelian (Norm<0.25): Minor commutative drift; the vector field undergoes predictable linear shifts. Non-Abelian (Norm<0.50): Significant non-commutative curvature. Parallel transport is highly path-dependent, signaling complex trend development and institutional accumulation. Singular (Norm≥0.50): Severe rotational deficit. The manifold geometry has collapsed or rotated sharply, marking high-probability reversal peaks and structural transitions. Holonomy Regime Shifts A Regime Shift is triggered when HolonomyNorm exceeds the user-defined threshold (i_holoThresh). Depending on the sign of the accumulated loop (sgn(H)) and the divergence between the fast and slow vectors, the engine classifies the transition into one of the following states: Bull Rotation : Enclosed path yields a positive rotational deficit combined with positive multi-scale momentum. Bear Rotation : Enclosed path yields a negative rotational deficit combined with negative multi-scale momentum. Geodesic Break : Extreme localized acceleration causing the momentum field to tear away from its expected trajectory. Scale Divergence : High-frequency (fast) and low-frequency (slow) vectors rotate in opposite directions, enclosing a singular point. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Rolling Confidence Matrix (RCM) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ The Rolling Confidence Matrix (RCM) acts as a structural anchor. It takes multi-scale geometric indicators from the transport engine and compiles them into a state-space model that dynamically controls signal permissions. State Space Representation The matrix maintains a rolling assessment of market structure across three distinct states: Established (State 0): The trend is structurally intact; manifold bands are compressed, and parallel transport confirms high directional persistence. Transition (State 1): Price is approaching key structural levels or experiencing a holonomy spike. Manifold bands widen, and standard signals are gated. Damaged (State 2): Price has broken through primary defensive corridors. Structural confidence is compromised; bands expand by the Damage Band Expansion multiplier (i_damageWiden), and counter-trend positions are heavily penalized. External Evidence Injection On every bar, the system injects external geometric parameters from the manifold: This evidence is integrated into the RCM, outputting structural permissions (allowLong, allowShort) and score modulations that are applied to the final signal scoring calculations. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Ensemble Dynamic Volatility Scaling (DVS) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ To adapt the mathematical models to varying market volatility, the script runs three independent volatility estimators concurrently on every bar: Ensemble Combinatorics The baseline values are calculated as moving averages over the memory period. The script then computes the ratios of the current estimators to their historical baselines: This ratio dynamically scales the width of the holographic manifold bands and the RCM damage thresholds: during highly volatile regimes, thresholds are expanded to prevent whipsaws; during compression regimes, thresholds are tightened to capture early breakouts. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Footprint & Synthetic Fallback Engine ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ The script includes a Use Legit Footprint toggle (i_useFp). When enabled on charts supporting tick databases, the system requests official exchange-traded order flow data: fp=request.footprint(i_fpTicks,i_fpVA) The Advanced Synthetic Footprint Engine If the user deactivates the footprint toggle, or if the asset/timeframe does not support tick database access (e.g., historical bars or Forex), the Synthetic Footprint Fallback Engine** takes over, simulating volume-at-price and directional delta using high-frequency mathematical approximations: This estimated delta reconstructs the synthetic buy and sell pressures: ​ Kyle's Lambda (Price Impact & Liquidity Risk) Using these directional volumes, we calculate Kyle's price impact coefficient λ, measuring the price change per unit of volume flow: ​High values of λ represent illiquid, thin, or toxic conditions. The system calculates the z-score of lambda (Zλ). If Zλ > 2.0, signal scores are dynamically penalized to protect capital from low-liquidity slippage. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Structural Scoring & Signal Gating ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ The system generates a directional Signal Score using a two-tier quantitative scoring process. Stage 1: Structural Base (Minimum of one required) Siege Corridor Proximity : Price is within 1.2 ⋅ ATR of a verified support or resistance level. ScoreBase = 0.28+(Hold Probability⋅0.18) EMA21 Geodesic Pullback : Price pulls back to the EMA21 in trend alignment. ScoreBase = 0.25 RSI Extreme Exhaustion : RSI is below 25 (for longs) or above 75 (for shorts). ScoreBase = 0.28 Stage 2: Confirmations (Additive) Multi-pattern confluence (2+ patterns matching): +0.15 Pressure bar strength exceeds thresholds: +0.08 to +0.15 Metric curvature aligns with structural turn: +0.10 Volume expansion exceeds historical average: +0.10 Holonomy phase shifts or loop spikes: +0.12 Directional Scaling & Gating The score is adjusted based on trend alignment. With-Trend (WT) setups (longs above the EMA50, shorts below) are evaluated using standard thresholds. Counter-Trend (CT) setups face a strict scaling penalty: ScoreCT = ScoreRaw ⋅ clamp(1.0−Trend Strength⋅0.15,0.45,1.0) Additionally, the score passes through three gates: Liquidity Penalty : Reduced by up to 30% if order flow thickness is classified as Desert or Frozen. Kyle Lambda Gate : Penalized if price impact is highly volatile (Zλ > 2.0). Danger Gate : Score is multiplied by 0.60 if the composite risk danger index exceeds 75. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Input Reference ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ═══ GEOMETRY ENGINE ═══ Hurst Period (30 to 200, default 80): Lookback window for R/S calculations to evaluate trend persistence. Pivot Length (2 to 15, default 5): Lookback/lookahead buffer for swing pivot detection. TF Preset (Auto, 1m-5m Scalp, 10m-15m Intra, 30m-1H Swing, 4H-D Position): Set the timeframe scaling preset. Auto dynamically scales lookbacks based on the current chart timeframe. Use Legit Footprint (Boolean, default true): Toggles whether to query exchange tick database for real footprint data. Footprint Ticks/Row (1 to 500, default 100): Height of the footprint rows in tick units. Footprint VA % (50 to 90, default 70): Percentage of volume enclosed within the Value Area. ═══ TRANSPORT & HOLONOMY ═══ Vector Fast Scale (3 to 21, default 8): Periods for tracking short-term momentum vectors. Vector Medium Scale (10 to 55, default 21): Periods for intermediate momentum geometry. Vector Slow Scale (21 to 144, default 55): Baseline vector window representing the macro manifold. Holonomy Window (13 to 89, default 34): Size of the temporal loop used to integrate local deviations. Holonomy Spike Threshold (0.10 to 0.90, default 0.35): Sensitivity threshold for identifying rotational shifts. Geodesic Deviation Sensitivity (0.5 to 3.0, default 1.5): Sensitivity for flagging off-path momentum. Enable Continuation Signals (Boolean, default true): Toggles secondary pullback entries in strong trends. ═══ ROLLING CONFIDENCE MATRIX ═══ Block Transition Signals (Boolean, default true): If active, blocks standard entry signals when the matrix is in transition state. Conf Band Tightening Factor (0.0 to 1.0, default 0.35): Compression multiplier for manifold bands under high confidence. Damage Band Expansion (1.0 to 1.5, default 1.15): Expansion multiplier for manifold bands under structural damage. ═══ DYNAMIC VOLATILITY SCALING (DVS) ═══ Enable Ensemble DVS Engine (Boolean, default true): Toggles whether to scale target multiples and thresholds by volatility. DVS Method (ATR Ratio, Parkinson, Garman-Klass, Ensemble): Method for calculating real-time volatility. DVS Memory Period (20 to 200, default 100): Baseline lookback window for historical volatility. DVS Sensitivity (0.3 to 1.5, default 0.7): Exponent scaling parameter for the DVS ratio. ═══ SIGNAL GATING ═══ Signal Threshold (0.10 to 0.85, default 0.40): Minimum score required to fire a signal. Cooldown Bars (1 to 50, default 6): Minimum bar spacing between consecutive signals. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Visual System & Dashboard Interpretation ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Transport Field Manifold : A multi-layered band surrounding price. It contracts during clean, high-confidence geodesic flow and expands during high-entropy, damaged, or volatile regimes. Its color is determined by the RCM state: Green for bullish stability, Red for bearish, and Purple during transitions. Siege Corridors : Plotted as horizontal support (Green) and resistance (Red) zones with an ATR-scaled boundary. At the right-hand side of the chart, these corridors display critical metrics: the total historical hit count, the estimated break probability (Pbreak), and the fail/reversal probability (Pfail). Vector Field Lines : Small arrow-headed lines plotted on every third bar. They show the mathematical direction of the Fast momentum vector. They visually represent the difference between the actual observed path of the market and the expected parallel-transported baseline. Holonomy Phase Ring : An indicator plotted at the right edge of the chart displaying the current phase angle (e.g., ◐ 144∘). Glitch Markers: Flagged on the chart as ◈ GLITCH when anomalous pricing data or sudden coordinate jumps are detected on the manifold. Dashboard: Displays real-time metric readings from all quantitative modules: Tensor Metrics: Curvature, Entropy, Hurst Exponent, and Price Pressure. Volatility: Dynamic DVS Ratio, active estimator method, and scaling state. RCM Brain: State classification, integrity index, and gate permissions. Performance: Total trades, win rate, total profit (R-multiple), profit factor, and max drawdown. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Limitations and Disclaimers ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ This tool is for analytical purposes only and does not predict future market direction. Historical Simulation: The built-in simulator represents hypothetical performance on historical data. Past results do not guarantee future performance. Volume Approximations: The synthetic footprint engine uses OHLCV approximations to estimate volume-at-price and directional delta. It is not an actual connection to L2 exchange data feeds or a central clearing book. Persistence: Reinforcement learning weights are state-space variables that exist within the local execution thread; they reset to 1.0 on every chart load or browser reload. — Dskyz. Trade with insight. Trade with anticipation. (It's lonely at the top)
Indicador Pine Script®
por DskyzInvestments
2
Market Structure Target Tracker [MarkitTick]💡 An advanced, multi-faceted analytical suite designed for traders who rely on price action and logical trend progressions. By systematically identifying structural pivots in the market, this tool automatically maps out Break of Structure (BOS) and Change of Character (CHoCH) events. Rather than simply plotting support and resistance, it integrates a sophisticated risk-management framework directly onto the chart, calculating dynamic Entry, Stop Loss (SL), and multiple Take Profit (TP) levels based on market volatility. Price action trading requires constant vigilance to identify local maxima and minima. This script relieves the trader of manual chart marking by perpetually analyzing rolling windows of price data. When an established swing high or low is breached, the indicator locks in the structural shift, evaluates higher timeframe momentum to filter out false breakouts, and establishes a forward-looking target zone. ✨ Originality and Utility Most market structure indicators limit their functionality to placing historical labels on the chart. The originality of this script lies in its forward-looking, state-aware tracking mechanism. It operates not just as an indicator, but as a simulated trade management dashboard. Once a structural break occurs, the indicator shifts into an active tracking state. It dynamically projects Entry and SL/TP bands anchored to the breakout, using Average True Range (ATR) to adapt to the asset's current volatility. Furthermore, it continuously evaluates the life-cycle of the structural break, monitoring price action to determine if the target is successfully hit or if the setup is invalidated by an opposing swing breach. This level of state persistence provides traders with an objective, real-time assessment of trade feasibility, risk-to-reward ratios, and trend duration. 🔬 Methodology and Concepts The script is built upon four foundational technical concepts, woven together into a unified logic sequence: • Pivot Detection The core engine scans for Pivot Highs and Pivot Lows. A Pivot High is confirmed when a specific bar's high is strictly greater than the highs of a defined number of bars both preceding and following it. This creates a fractal representation of market turning points. • Break of Structure (BOS) A bullish structure break occurs when the closing price of a confirmed bar exceeds the most recent Pivot High. Conversely, a bearish break occurs when the close drops below the most recent Pivot Low. The script categorizes the first break in a new direction as a CHoCH, and subsequent continuous breaks as BOS. • Higher Timeframe (HTF) Alignment To prevent trading against the dominant macroeconomic trend, the script optionally queries the Relative Strength Index (RSI) from a higher timeframe. If this filter is engaged, bullish breakouts are ignored unless the HTF RSI indicates bullish momentum, adding a crucial layer of directional confirmation. • Volatility-Adjusted Target Mapping Upon a valid breakout, the script captures the current ATR. It then maps out a predefined trade setup. The Entry is plotted slightly past the breakout line, the Stop Loss is placed at a multiple of the ATR away from the entry, and up to three Take Profit levels are projected using independent ATR multipliers. 🔍 Deconstruction of the Underlying Scientific and Academic Framework The indicator translates discretionary price action theory into a strict, rule-based algorithmic framework grounded in discrete mathematics and statistical dispersion. • Local Extrema in Discrete Time Series The pivot detection relies on the mathematical definition of local extrema within a bounded domain. For a given time series of high prices $H_t$, a local maximum is identified at time $t$ if $H_t \ge H_{t \pm k}$ for a defined neighborhood $k$ (the Swing Length). By anchoring structural logic to these extrema, the script removes the subjectivity of trendline drawing, relying strictly on empirical data points that define the boundaries of recent market equilibrium. • Measurement of Dispersion via True Range The risk management module utilizes the Average True Range. The True Range ( NYSE:TR $) is defined as the greatest of the following: the current high minus the current low, the absolute value of the current high minus the previous close, or the absolute value of the current low minus the previous close. The ATR is a smoothed moving average of this NYSE:TR $. In academic finance, variance and standard deviation are common measures of risk; however, ATR is particularly robust for trading applications as it accounts for overnight gaps and limits, providing a highly adaptive measurement of kinetic market energy to appropriately size stop-loss thresholds. • Relative Momentum Standardization The Higher Timeframe filter utilizes the Relative Strength Index. The RSI standardizes the velocity of price movement onto a 0-100 scale by comparing the exponential moving average of recent gains to recent losses. By enforcing a rule where NYSE:RSI > 50$ is required for bullish structural breaks, the algorithm mathematically demands that the higher-degree derivative of price (momentum) aligns with the lower-degree breakout, statistically reducing the probability of mean-reverting false breakouts. 🎨 Visual Guide The script provides a rich, non-intrusive visual overlay to keep the trader informed of all active states and historical context. • Structure Break Lines Dashed Green Lines: Indicate historical and active Bullish breakouts. Dashed Red Lines: Indicate historical and active Bearish breakouts. Trend Labels: Triangles and markers (▲ BOS / ▼ CHoCH) appear at the midpoint of the break line to clearly annotate the structural shift. • Trade Projection Lines When a break is active, a cluster of dashed lines projects to the right of the current price action: Blue Line (►): Proposed Entry level. Red Line (✕): Stop Loss level based on ATR. Green Lines (●, ★, ◆): Three tiered Take Profit targets based on escalating ATR multiples. • The Heads-Up Dashboard Located in the top right corner, this table is the operational nerve center. It displays: Asset Ticker and Current Trend status. HTF Direction and a visual block-bar representation of the HTF RSI. Active BOS Level and Target Status (⏳ Pending or ✓ Hit). Exact price coordinates for Entry, SL, and all TPs. The active Risk-to-Reward (R:R) ratio for the first target. Statistical tracking of Total BOS counts and the duration (in bars) of the active setup. 📖 How to Use Traders can utilize this script as a complete ruleset for navigating trend continuations and reversals. When observing the chart, wait for the script to print a new BOS or CHoCH label. This signifies that a confirmed candle has closed beyond a significant structural pivot. If the HTF filter is enabled, this break already has the backing of higher timeframe momentum. Once the break prints, look to the dashed projection lines and the dashboard. The dashboard will display exact coordinates for a theoretical trade setup. You can use the blue Entry line to plan limit orders or market execution upon pullbacks. Set your structural stop-loss according to the red SL line, and place limit orders to secure profits at the green TP lines. Monitor the Dashboard's "Tgt Status". If price action reverses heavily and crosses the opposing pivot point before reaching the target, the script will trigger its auto-invalidation sequence, clearing the active lines and returning to a neutral scanning state. This helps in dynamically cutting risk when a setup structurally fails. ⚙️ Inputs and Settings The indicator is highly customizable, allowing adaptation to any asset or timeframe. • BOS Group Swing Length: Determines the lookback and lookforward period for pivot detection. Lower values react faster but produce more noise; higher values identify major macro swings. • Visibility Group Show BOS Line / Labels: Toggles the historical structural break drawings. Auto-Invalidate: When enabled, the script will cancel an active setup if the opposing structural extreme is breached. Color settings: Fully customize the hues for Bullish breaks, Bearish breaks, and Targets. • SL/TP Group Show Entry/SL/TP: Toggles the projection lines on the chart. ATR Length: The lookback period for calculating market volatility. Multipliers: Adjust the SL ATR Multiplier and the individual TP1, TP2, and TP3 multipliers to define your specific risk-to-reward parameters. • HTF Group HTF: Select the resolution for the higher timeframe filter (e.g., 240 for 4-hour, D for Daily). HTF Filter: Toggle the momentum alignment requirement on or off. HTF RSI Len: The period for the higher timeframe momentum oscillator. • Alerts Group The script features built-in webhook-ready JSON alerts that can notify external services the moment a BOS occurs or a target is successfully hit. ⚠️ Disclaimer All provided scripts and indicators are strictly for educational exploration and must not be interpreted as financial advice or a recommendation to execute trades. I expressly disclaim all liability for any financial losses or damages that may result, directly or indirectly, from the reliance on or application of these tools. Market participation carries inherent risk where past performance never guarantees future returns, leaving all investment decisions and due diligence solely at your own discretion.
Indicador Pine Script®
por MarkitTick
4
MS & RSI Divergences [invincible3]MS & RSI Divergences MS & RSI Divergences is a market-structure-based trading tool designed to identify key swing highs, swing lows, RSI regular divergences, and swing-based volume profile zones directly on the main chart. This indicator combines price action structure, momentum divergence, and volume distribution into one visual framework, helping traders analyze whether price movement is supported or weakened by momentum and volume. The script detects confirmed pivot highs and lows using user-defined left and right lookback bars, then classifies each swing as: HH — Higher High LH — Lower High HL — Higher Low LL — Lower Low It also draws a dotted ZigZag between confirmed swings, making the overall market structure easier to read. The active swing is dynamically updated, so if another stronger high or lower low appears before the opposite pivot forms, the script keeps only the strongest valid swing. This helps reduce duplicate or weak swing labels and keeps the chart cleaner. Key Features 1. Market Structure Detection The indicator automatically identifies major swing points and labels them as HH, LH, HL, or LL. This helps traders quickly understand whether the market is forming bullish continuation, bearish continuation, or possible reversal structure. A sequence of HH + HL usually reflects bullish structure, while LH + LL usually reflects bearish structure. 2. RSI Regular Divergence The indicator uses RSI to detect regular divergences at confirmed swing points. A bearish divergence is detected when price forms a higher high, but RSI forms a lower high. This can suggest weakening bullish momentum. A bullish divergence is detected when price forms a lower low, but RSI forms a higher low. This can suggest weakening bearish momentum. Divergence lines are drawn directly on price, with a “D” label marking the divergence area. 3. Swing Volume Profile For each completed swing leg, the indicator can draw a volume profile between the previous swing and the current swing. This shows where the most trading activity occurred inside that swing range. The profile also includes a dashed POC line, which represents the price level with the highest volume concentration inside the swing. This can help identify important reaction zones, support/resistance areas, and volume-based decision levels. 4. Leg Statistics The indicator can display swing-leg statistics, including: Total leg volume Volume delta approximation POC price The delta is estimated using candle direction, where bullish candles contribute positive volume and bearish candles contribute negative volume. Main Settings Market Structure Settings Left Bars Lookback controls how many bars are checked on the left side of a pivot. Right Bars Lookback controls how many bars are required after a pivot before it is confirmed. Show MS Labels enables or disables HH, LH, HL, and LL labels. Show Dotted ZigZag enables or disables the dotted swing connection line. RSI Divergence Settings Show Regular Divergences enables or disables RSI divergence detection. RSI Length controls the RSI calculation period. You can also customize bullish and bearish divergence colors. Swing Volume Profile Settings Show Swing Volume Profiles enables or disables the volume profile for each swing. Profile Granularity controls the number of volume rows. Profile Width controls how far the profile extends to the right. Show Leg Stats displays volume, delta, and POC information. Background Transparency controls the visibility of the profile background box. How to Use Use the market structure labels to understand the current trend direction. Use RSI divergence signals near HH, LH, HL, or LL areas to detect possible momentum weakness. Use the swing volume profile and POC line to find price zones where volume was concentrated. For stronger confirmation, combine this indicator with support/resistance, trendlines, higher-timeframe bias, or your own trading system. Important Notes This indicator uses pivot-based logic, so swing labels appear only after the required right-side confirmation bars have closed. The active swing can update until the opposite swing is confirmed. This is intentional because the script keeps the strongest high or lowest low before a new opposite pivot appears. This tool is designed for analysis and decision support. It should not be used alone as a buy or sell signal. Best Used For Price action analysis Market structure reading RSI divergence detection Swing trading Trend reversal analysis Support and resistance confirmation Volume profile-based swing analysis Disclaimer This indicator is for educational and analytical purposes only. It does not guarantee future price movement. Always use proper risk management and confirm signals with your own trading strategy before making trading decisions.
Indicador Pine Script®
por invincible3
Kalman Flow TrailKalman Flow Trail Kalman Flow Trail is a clean trend-following and market structure overlay designed to help traders read market direction, structural shifts, protected levels, liquidity targets, and higher-timeframe alignment from one chart. The script combines an adaptive Kalman-based trail with market structure logic, live strong/weak range levels, POI supply and demand zones, optional MSS/MSB guides, higher-timeframe confirmation, flip markers, and a compact Flow Dashboard. Core Features 1. Adaptive Kalman Flow Engine At the centre of the script is a dual Kalman smoothing engine designed to filter market noise while tracking directional flow. Unlike a standard moving average with fixed behaviour, the trail adapts using market structure activity and volatility. When price action becomes more active, the trail can respond faster. When price is choppy or compressed, the trail becomes smoother to reduce unnecessary noise. The engine also includes a structure-bias filter to help reduce overreaction when Kalman momentum and market structure are not aligned. 2. MSS / MSB Structure Guides Kalman Flow Trail includes optional structure guides for traders who want to see internal market structure directly on the chart. MSS = Market Structure Shift MSB = Market Structure Break These guides can be toggled on or off depending on whether the trader wants a detailed structure view or a cleaner visual layout. 3. Live Strong & Weak Range Levels The script automatically tracks swing structure and highlights strong protected levels and weak target levels. Strong levels represent the protected side of the current range. Weak levels represent likely liquidity targets. When a weak target is swept, the level can roll forward live with the current extreme until a new confirmed pivot forms. This helps keep the range logic responsive during strong continuation moves. 4. POI Supply & Demand Zones The script can draw POI zones from important structural pivot areas. In a bullish range, the POI highlights a potential demand area around the protected strong low. In a bearish range, the POI highlights a potential supply area around the protected strong high. The zones use theme-adaptive colours and dashed borders for a cleaner and more professional chart style. 5. Higher-Timeframe Confirmation The optional HTF Kalman Basis allows traders to compare current chart flow with a selected higher timeframe. For example, traders can view a 1H Kalman basis while analysing a 5-minute or 15-minute chart. This helps identify whether lower-timeframe price action is aligned with the broader market direction. 6. Flow Dashboard The built-in Flow Dashboard gives a compact read of current market conditions: Trail Direction Kalman Momentum HTF Alignment Range State This allows traders to quickly check whether the current flow, momentum, higher timeframe, and range structure are aligned. 7. Trail Flip Markers Diamond markers appear when the Kalman Flow Trail changes direction. These Trail Flip markers are designed to highlight possible shifts in directional flow. They are not standalone buy or sell signals, but they can help traders identify when market conditions are changing. 8. Proximity Star The live trail star follows the active trail level. When price moves close to the trail, the star changes into a warning state. This can help traders see when price is approaching a possible reaction area, mean-reversion zone, or potential trail breach. Visual Themes Kalman Flow Trail includes multiple built-in colour themes: Lucid Neon Ember Pulse Arctic Signal Violet Flux Mono Current Custom Theme Users can also toggle trail glow, trail fill, trail boundaries, flip diamonds, live trail star, HTF basis, POI zones, MSS/MSB guides, and candle colouring. How Traders Can Use It Trend Continuation Look for price respecting the trail and holding above protected demand areas in bullish conditions, or below protected supply areas in bearish conditions. Trail Flip Use diamond markers as visual alerts that directional flow may be shifting. Strong / Weak Range Logic Use strong levels as protected structure and weak levels as potential liquidity objectives. HTF Alignment Higher-quality conditions generally occur when Trail Direction and HTF Alignment point in the same direction. POI Zones Use POI Demand and POI Supply zones as structural areas of interest for reactions, continuation, or invalidation. Best Use Cases Trend-following analysis Market structure reading Liquidity target mapping Higher-timeframe confirmation Clean visual trend tracking Crypto, Forex, Indices, Stocks, and Commodities Notes This indicator is designed as an analytical tool. It does not predict the future and should not be used as a standalone trading system. Traders should combine it with their own market context, confirmation process, and risk management. Disclaimer Trading involves risk. This script is for educational and analytical purposes only and does not constitute financial advice.
Indicador Pine Script®
por NICK789
11
Market State Forecast Projection EngineThis indicator is a **forecast projection tool**. It looks at the current market environment, searches history for the most similar environments, then plots what usually happened afterward. It is not trying to predict the future with certainty. It is saying: “When the market looked like this before, what tended to happen next?” The engine defines the current market environment using three things: * **Trend**, based on moving averages. * **Momentum**, based on RSI. * **Volatility**, based on ATR. Then it finds the closest historical matches, studies their future paths, and draws a forecast line with optional upper and lower bands. --- ## What You See on the Chart ### Forecast Midline The main forecast line shows the **average path** of the selected historical matches. In simple terms: * If similar past situations usually moved higher, the line slopes up. * If similar past situations usually moved lower, the line slopes down. * If similar past situations were mixed, the line may be flat or choppy. ### Upper Band The upper band shows the stronger side of historical outcomes. It means: * Some similar historical setups moved better than the average. * The upper band gives you a visual idea of the upside range from those past examples. * It is not a guaranteed target. ### Lower Band The lower band shows the weaker side of historical outcomes. It means: * Some similar historical setups moved worse than the average. * The lower band gives you a visual idea of downside risk from those past examples. * It is not a guaranteed support level. ### Band Width The space between the bands matters. * Tight bands mean historical outcomes were more consistent. * Wide bands mean historical outcomes were scattered and less reliable. * A forecast with wide bands should be treated with more caution. --- ## Main Inputs ### Non-Repaint Mode **Default: On** This controls whether the forecast uses the live candle or the last completed candle. Use **Non-Repaint Mode On** when: * You want more stable signals. * You want the forecast to update only after the candle closes. * You care about cleaner historical testing. Use **Non-Repaint Mode Off** when: * You want the forecast to react during the current live candle. * You accept that the forecast may change before the candle closes. For most use cases, leave this **On**. --- ## Model Group ### Forecast Horizon This controls how far into the future the indicator projects. Example: * On a daily chart, `20` means 20 trading days. * On a 1-hour chart, `20` means 20 hours. * On a 5-minute chart, `20` means 20 five-minute candles. Use a lower value when: * You are trading short-term moves. * You want a tighter forecast window. * You do not want the projection stretched too far. Use a higher value when: * You are looking for swing-trade context. * You want to see the broader projected path. * You are using higher timeframes. A practical range is usually: * `10–20` for shorter-term analysis. * `20–50` for swing-style analysis. --- ### Search Depth This controls how much history the engine searches. Example: * `1000` means the engine searches roughly 1,000 prior bars. * `2000` means it searches more history. * `500` means it searches less history. Use a higher Search Depth when: * You want a larger historical sample. * You are on a short timeframe with lots of bars. * You want more possible market-state comparisons. Use a lower Search Depth when: * You want the model to focus on more recent market behavior. * You are on a slower chart like daily or weekly. * You want less influence from older market regimes. The tradeoff is simple: * More history gives more examples. * Less history may be more relevant to the current market regime. --- ### Pattern Matches This controls how many of the closest historical matches are used. This is one of the most important inputs. If set to `30`, the engine finds the **30 closest historical market states** and builds the forecast from those. Use fewer matches when: * You want stricter, more specific comparisons. * You want only the closest historical examples. * You are okay with a forecast that may be more reactive. Use more matches when: * You want a smoother forecast. * You want less noise from individual examples. * You want a broader historical sample. General interpretation: * `10–20` = stricter, more selective. * `25–40` = balanced. * `50+` = broader, smoother, but less specific. --- ### Weight Closer Matches This controls whether the best matches receive more influence. When turned **On**: * The closest historical matches matter more. * Weaker matches still count, but less heavily. * The forecast becomes more focused on the most similar examples. When turned **Off**: * Every selected match is treated equally. * The forecast becomes more democratic. * A very close match and a weaker match have the same influence. For most users, leave this **On**. --- ## Advanced Model Inputs ### Forecast Model This chooses how the engine defines the market environment. All models use: * EMA trend. * RSI momentum. * ATR volatility. The difference is how each model emphasizes those ingredients. --- ### Conservative Use **Conservative** when you want a slower, smoother model. It is designed to: * React less aggressively. * Favor more stable market environments. * Put more importance on trend and volatility. * Reduce noisy forecast changes. Best for: * Daily charts. * Swing trading. * Slower-moving stocks or ETFs. * Users who want fewer false shifts. --- ### Balanced Use **Balanced** as the general-purpose default. It is designed to: * Give trend, momentum, and volatility a normal balance. * Work across many markets. * Avoid being too slow or too fast. Best for: * Most users. * Most chart timeframes. * General market forecasting. * Starting point before testing other models. --- ### Aggressive Use **Aggressive** when you want a faster model. It is designed to: * React more quickly to changing momentum. * Give more influence to short-term market shifts. * Be more sensitive to fresh moves. Best for: * Intraday trading. * Fast-moving markets. * Crypto. * Momentum names. * Traders who want earlier, more responsive shifts. The downside is that it may be noisier. --- ### Trend Following Use **Trend Following** when you want the model to emphasize persistent directional moves. It is designed to: * Care more about trend structure. * Care less about short-term momentum noise. * Favor markets that continue moving in the same direction. Best for: * Strong trending stocks. * Indexes. * Breakout environments. * Higher-timeframe directional trading. This model is less ideal in sideways or choppy markets. --- ### Mean Reversion Use **Mean Reversion** when you want the model to focus on stretched conditions. It is designed to: * Emphasize momentum extremes. * Look for environments where price may snap back or reverse. * Care less about long-term trend persistence. Best for: * Range-bound markets. * Overbought/oversold setups. * Countertrend analysis. * Shorter-term reversal ideas. This model may fight strong trends, so use it carefully in momentum-heavy markets. --- ## Historical Lookback Inputs ### Lookback Bars This lets you move the forecast backward in time. Example: * `0` means current forecast. * `50` means show what the forecast would have looked like 50 bars ago. * `250` means show what the forecast would have looked like 250 bars ago. Use this for: * Visual backtesting. * Studying old setups. * Checking whether the forecast was useful historically. * Comparing forecast paths against what actually happened. This is one of the most valuable testing features. --- ### Lock to Candle This lets you anchor the forecast to a specific candle time instead of a simple bar offset. Use it when: * You want to test a specific time of day. * You trade a regular session open. * You want repeatable historical anchors. Example: * You can lock to the 13:30 UTC candle, which often corresponds to the U.S. stock market open during daylight saving time. When this is off, the indicator uses **Lookback Bars** instead. --- ### Days Back This works with **Lock to Candle**. It tells the indicator how many matching anchor candles to go back. Example: * `0` = most recent matching candle. * `1` = one matching session back. * `2` = two matching sessions back. Use this when: * You want to test the most recent open. * You want to test yesterday’s open. * You want to step through past sessions one by one. --- ### Hour UTC This is the UTC hour used for candle locking. Use it with **Minute UTC** to identify the exact candle you want. Example: * `13` means 13:00 UTC. * Combined with `30`, it means 13:30 UTC. This is useful because TradingView symbols and sessions can vary, but UTC gives a consistent anchor. --- ### Minute UTC This is the UTC minute used for candle locking. Example: * Hour UTC = `13` * Minute UTC = `30` Together, that means: * Lock to the 13:30 UTC candle. Use this for precise historical testing. --- ### Auto Previous Session This controls what happens if today’s target candle has not printed yet. When turned **On**: * The indicator automatically uses the most recent previous matching candle. * This keeps the forecast visible even before today’s target time exists. When turned **Off**: * If today’s target candle has not printed, the lock may show no match and fall back. For most users, leave this **On**. --- ## Bias Logic Inputs ### Bias Threshold % This controls how strong the bull or bear probability must be before the indicator labels the forecast bullish or bearish. Example: * If Bias Threshold is `60`, Bull Probability must be at least 60% before a bullish label can appear. * If Bear Probability is at least 60%, a bearish label can appear. Use a lower threshold when: * You want more frequent bias labels. * You are okay with weaker directional evidence. Use a higher threshold when: * You want stricter signals. * You only want stronger historical agreement. Practical range: * `60%` = balanced. * `70%+` = more conservative. * `50–55%` = loose and more signal-heavy. --- ### Minimum Bull/Bear Edge % This controls how large the gap must be between Bull Probability and Bear Probability. Example: * Bull Probability = 65% * Bear Probability = 35% * Edge = 30 percentage points If the minimum edge is `15`, this would qualify. But: * Bull Probability = 58% * Bear Probability = 42% * Edge = 16 percentage points This may still fail if Bull Probability is below the Bias Threshold. This input prevents weak differences from being labeled as strong directional bias. Use a higher edge when: * You want cleaner bias labels. * You want the model to avoid borderline calls. Use a lower edge when: * You want more frequent directional bias. * You accept more uncertainty. --- ## Display Inputs ### Show Forecast Midline This turns the main forecast line on or off. Turn it **On** when: * You want to see the projected average path. Turn it **Off** when: * You only want the info box probabilities. * You want a cleaner chart. --- ### Show Confidence Bands This turns the upper and lower forecast bands on or off. Turn it **On** when: * You want to see the historical range of outcomes. * You care about uncertainty. * You want to know whether the forecast is tight or messy. Turn it **Off** when: * You only want the central forecast. * The chart feels too cluttered. --- ### Band Width Multiplier This controls how wide the bands are. Higher values make the bands wider. Lower values make the bands tighter. Use lower values when: * You want a cleaner, tighter visual range. * You want bands closer to the average forecast. Use higher values when: * You want to see a broader range of historical outcomes. * You want a more conservative uncertainty envelope. Default `1.0` is a good starting point. --- ## Forecast Midline Style Inputs ### Forecast Midline Color Controls the color of the main projection line. The default aqua color makes it visually distinct from price candles. ### Forecast Midline Width Controls how thick the midline is. Use a thicker line when: * You want the forecast to stand out. * You are using a busy chart. Use a thinner line when: * You want a cleaner chart. * You use many overlays. ### Forecast Midline Type Controls whether the line is: * Solid. * Dashed. * Dotted. Solid is usually best for the main forecast line. --- ## Upper Band Style Inputs ### Upper Band Color Controls the color of the upper forecast band. The default green tone suggests upside range. ### Upper Band Width Controls how thick the upper band is. A thin dashed line usually works best because it should be secondary to the midline. ### Upper Band Type Controls whether the upper band is solid, dashed, or dotted. Dashed is usually best because it visually communicates “range” rather than “target.” --- ## Lower Band Style Inputs ### Lower Band Color Controls the color of the lower forecast band. The default red tone suggests downside range. ### Lower Band Width Controls how thick the lower band is. A thin line keeps it useful without dominating the chart. ### Lower Band Type Controls whether the lower band is solid, dashed, or dotted. Dashed is usually best for the same reason as the upper band. --- ## Info Box Inputs ### Show Info Box This turns the dashboard on or off. Turn it **On** when: * You want the probabilities and diagnostics visible. * You are actively evaluating the forecast. Turn it **Off** when: * You only want the chart projection. * You want a cleaner visual layout. --- ### Info Box Position Controls where the dashboard appears. Options: * Top Left. * Top Right. * Bottom Left. * Bottom Right. Use the position that interferes least with price action on your chart. --- ### Text Size Controls the dashboard text size. Use: * **Tiny** for compact charts. * **Small** for normal use. * **Normal** if you want easier reading. * **Large** for presentations or large monitors. --- ### Background Controls the info box background color. A darker background usually works best on most TradingView chart themes. ### Border Controls the info box border color. This helps separate the dashboard from the chart. ### Header Text Controls the title/header text color. ### Header Background Controls the top header row background. This gives the dashboard its polished look. --- ## Info Box Metrics ### Bull Prob % This shows the weighted percentage of selected historical matches that ended bullish. Simple meaning: > Of the similar historical market states, how many tended to move up? A high number means bullish outcomes dominated the selected historical matches. --- ### Bear Prob % This shows the weighted percentage of selected historical matches that ended bearish. Simple meaning: > Of the similar historical market states, how many tended to move down? A high number means bearish outcomes dominated the selected historical matches. --- ### Direction Bias This shows the final label after applying the bias rules. Possible outputs: * Bullish. * Bearish. * None. * Weak Data. * No Matches. A bullish or bearish label only appears when the probability and edge requirements are met. --- ### Bull/Bear/Flat This shows how many selected matches ended: * Bullish. * Bearish. * Flat. Example: * `18 / 9 / 3` This means: * 18 bullish historical outcomes. * 9 bearish historical outcomes. * 3 flat historical outcomes. This gives you a quick look at the underlying distribution. --- ### Match Count This shows how many historical matches were actually used. If Pattern Matches is set to `30`, Match Count should usually show `30`. If it shows less, there may not have been enough valid historical data. --- ### Fit Quality This tells you how closely the selected historical matches resemble the current market state. High Fit Quality means: * The current market environment closely resembles the selected historical examples. Low Fit Quality means: * The engine found matches, but they were not very close. Important: * Fit Quality is not win rate. * Fit Quality is not probability. * Fit Quality is not accuracy. * It only measures how good the historical comparisons are. Best interpretation: * High Fit Quality + strong Bull/Bear Probability = more compelling. * High Fit Quality + split probabilities = similar markets existed, but outcomes were mixed. * Low Fit Quality = be cautious. --- ### Model This shows which Forecast Model is active. Examples: * Balanced. * Conservative. * Aggressive. * Trend Following. * Mean Reversion. This is useful for screenshots and reviewing past setups. --- ### Anchor This tells you where the forecast is anchored. Examples: * `0 bars · NR` means current forecast using Non-Repaint Mode. * `50 bars · NR` means historical forecast from 50 bars ago. * `Locked` means it is anchored to a specific UTC candle. This helps you know whether you are looking at a current forecast or a historical replay. --- ### Search Depth This shows the actual number of bars being searched. It may be lower than your input if the chart does not have enough loaded history. --- ## Best Practical Way to Use It A clean workflow would be: * Start with **Balanced** model. * Keep **Non-Repaint Mode On**. * Use **Pattern Matches around 30**. * Use **Search Depth around 1000**. * Watch **Fit Quality**. * Watch **Bull/Bear Probability**. * Treat the forecast line as a scenario path, not a guaranteed prediction. * Use **Lookback Bars** to test whether the forecast was historically useful. * Avoid trusting any forecast where the bands are very wide and probabilities are split. The strongest setup is usually when: * Fit Quality is high. * Bull or Bear Probability is clearly dominant. * The forecast bands are not extremely wide. * The projection agrees with price structure.
Indicador Pine Script®
por tgregg75
Structure & Trend ContextStructure & Trend Context is a clean overlay that visualises market structure and trend direction without cluttering the chart. It is built as a context tool to support your own analysis, not as a signal system. What it shows - Trend filter: a fast and a slow EMA define the prevailing direction. The slow EMA is colour-coded by bias (up / down / neutral). - Volatility band: an ATR band around the fast EMA gives a sense of normal price travel and dynamic over-/under-extension. - Swing structure: the most recent confirmed swing high and swing low are tracked and drawn as reference levels. - Structure breaks (BoS): a marker appears only when price closes beyond the prior swing by an ATR buffer while in trend. Each level is locked after it breaks, so markers stay rare and meaningful rather than firing on every minor poke. - Context panel: a compact top-right table showing current trend bias, last higher high and last lower low. How to use it Read the chart first. Use the trend filter and band for context, the swing levels for reference, and treat a structure break as one piece of confluence, not a standalone trigger. Raise "Swing sensitivity" on higher timeframes or noisy assets to keep only the larger structure. Inputs Every layer (band, swing levels, structure markers, raw pivots, panel, bar tint) has its own toggle, and the EMA, ATR and pivot lengths are fully adjustable. Notes This indicator is a visualisation aid for discretionary analysis. It does not predict price, does not generate buy or sell recommendations, and is not financial advice. Markers are confirmed on bar close and do not repaint. Open-source — adapt it to your own workflow.
Indicador Pine Script®
por brokerchampionofficial
Sloped LinReg Volume Profile [MarkitTick]💡 This indicator introduces a highly dynamic approach to volume and price analysis by merging standard volume principles with vector-based linear regression. Rather than plotting volume distributions on a static horizontal plane, this tool maps volume nodes parallel to the prevailing mathematical trend. By constructing a localized volume profile that follows the trajectory of price action, it captures momentum-adjusted value areas, providing an advanced lens for interpreting market geometry, support/resistance, and volume anomalies. It is strictly engineered for standard candlestick charts, specifically excluding non-standard formats to ensure pristine volume and price data integrity. ● ✨ Originality and Utility Standard volume profiles aggregate historical volume at fixed price levels, which often creates fragmented or obsolete value nodes when a market is actively trending. This indicator resolves that structural limitation by angling the volume bins to match the slope of a linear regression channel. It identifies where volume is concentrated relative to the trend's axis, not just the absolute price. It reveals volume-weighted momentum, highlighting whether buying or selling pressure is accelerating in the direction of the regression slope. The tool includes an integrated, dark-mode optimized analytics dashboard that processes quantitative metrics natively on the chart without requiring secondary oscillators. ● 🔬 Methodology and Concepts The foundational logic relies on computing a rolling linear regression to establish a baseline trajectory over a specified period. The methodology relies on Pine Script's time-series event loop, evaluating arrays of data dynamically as new bars form. Vector-Based Binning: Instead of horizontal rows, the profile utilizes a dynamic upper and lower deviation band. The mathematical distance between these bands is partitioned into a user-defined number of rows. Volume Distribution: As the script loops through the historical lookback window, it evaluates the volume of each bar. The volume is divided proportionally across the sloped bins that intersect the bar's high-low range. Directional Volume (Delta): Each bin further categorizes volume into "Buy" or "Sell" categories based on whether the bar's closing price was greater than or equal to its opening price. Value Area Calculation: The Point of Control (POC) identifies the sloped bin with the highest total volume. The Value Area High (VAH) and Value Area Low (VAL) expand outward from the POC until they encapsulate a specific percentage of the total allocated volume, dynamically updating as price action develops. ● 🎨 Visual Guide Every visual element is rendered utilizing Pine Script's advanced drawing arrays and is fully user-configurable to support dark-mode analytical environments. • The Sloped Profile Volume Bars: Rendered as polygons extending inward from the right side of the channel. The length of each polygon represents the relative volume allocated to that specific standard deviation bin. Color Coding: Bullish volume defaults to a translucent teal, while bearish volume displays as a translucent red. Bins experiencing extraordinary volume influxes override with a bright, high-visibility color to highlight anomalous market participation. • Channel and Level Lines Regression Bounds: Solid or semi-transparent lines mapping the start and end of the regression channel, defining the upper and lower standard deviation extremes. POC Line: A thick, solid yellow line plotting the Point of Control across the length of the channel. Value Area Lines: Dashed blue lines tracking the VAH and VAL. The area between these lines is shaded with a deep blue fill to instantly highlight the trend's core acceptance zone. Delta POC: A dashed fuchsia line identifying the bin with the most extreme difference between buying and selling volume. • Analytics Dashboard Located in the top right, this table provides real-time quantitative readouts formatted to precise tick values. LinReg Slope: Indicates the mathematical direction of the trend (Bullish/Bearish). Price Regime: Identifies if the current close is inside the channel or breaking the upper/lower bounds. Volume POC & Delta POC: Displays the exact price equivalents of the sloped control lines at the current bar index. Buy Vol Bias: A visual progress bar detailing the ratio of bullish to bearish volume within the regression window. Vol Compression: Evaluates the density of the value area. A highly concentrated value area yields a higher compression score. ● 📖 How to Use The indicator serves as a complete environmental map for trending markets. Trend Qualification: Utilize the slope of the regression channel to establish the primary directional bias. Trades should ideally align with the slope. Value Area Rejections: The VAH and VAL lines function as dynamic support and resistance. A price action rejection at the VAH within a downward-sloping channel offers a high-probability continuation setup. POC Magnetism: Price will naturally gravitate toward the sloped POC. Deviations far outside the Value Area typically mean-revert to the POC unless accompanied by a severe volume imbalance. Interpreting Delta: Compare the traditional POC to the Delta POC. If the Delta POC rests significantly higher or lower than the overall Volume POC, it indicates an aggressive concentration of directional absorption (trapped buyers or sellers). Repainting Warning: Because this indicator calculates a dynamic linear regression over a moving lookback window, the visual placement of the channel and profile will continually recalculate and shift on the real-time bar until the bar closes. This is standard behavior for dynamic geometric overlays, but users should wait for bar confirmation before executing trades based on channel interactions. ● ⚙️ Inputs and Settings • Linear Regression Settings Channel Length: Defines the historical lookback window (default is 100). Higher values create smoother, macro-trend profiles. Source: The price data used for the regression calculation (Open, High, Low, Close, HL2, HLC3, OHLC4). Upper/Lower Deviation: Toggles the outer bounds of the channel and sets the standard deviation multipliers. • Sloped Volume Profile Settings Number of Rows: The granularity of the profile. More rows create thinner, more precise volume nodes. Profile Width %: Determines how far the volume polygons stretch across the screen relative to the channel length. Value Area %: The percentage of total volume to include within the VAH and VAL bounds (default 70%). • Advanced Quant Analytics Highlight Footprints: Visually isolates volume bins that exceed two standard deviations above the mean bin volume. Calculate Anchored VWAP: Toggles the inclusion of an Anchored VWAP (anchored to the start of the regression window) within the dashboard matrix. ⚠️ Disclaimer All provided scripts and indicators are strictly for educational exploration and must not be interpreted as financial advice or a recommendation to execute trades. I expressly disclaim all liability for any financial losses or damages that may result, directly or indirectly, from the reliance on or application of these tools. Market participation carries inherent risk where past performance never guarantees future returns, leaving all investment decisions and due diligence solely at your own discretion.
Indicador Pine Script®
por MarkitTick
TRADER 9999 Market Structure # LuxAlgo S/R Zones PRO v2 LuxAlgo S/R Zones PRO v2 adalah indikator Support & Resistance berbasis pivot yang mengubah level horizontal tradisional menjadi zona dinamis berbentuk box. Indikator ini dirancang untuk membantu trader mengidentifikasi area Supply & Demand yang lebih realistis dibanding garis tunggal. ## Fitur Utama ### Dynamic Support & Resistance Zones * Support dan Resistance dibuat dari pivot high dan pivot low yang telah terkonfirmasi. * Zona menggunakan lebar ATR (Average True Range) sehingga menyesuaikan kondisi volatilitas pasar. * Tidak repaint karena zona hanya dibuat setelah pivot selesai terbentuk. ### Automatic RBS & SBR Detection Indikator secara otomatis mendeteksi perubahan struktur pasar: * RES → RBS (Resistance Becomes Support) * SUP → SBR (Support Becomes Resistance) Saat breakout terjadi: * Warna zona akan berubah. * Label akan diperbarui secara otomatis. * Struktur market menjadi lebih mudah dibaca. ### Smart Retest Engine Setelah breakout terkonfirmasi, indikator akan menunggu retest ke area RBS atau SBR. BUY Signal: * Zona telah berubah menjadi RBS. * Harga kembali menguji zona. * Candle bullish terkonfirmasi. * Close berada di atas area tengah zona. SELL Signal: * Zona telah berubah menjadi SBR. * Harga kembali menguji zona. * Candle bearish terkonfirmasi. * Close berada di bawah area tengah zona. Pendekatan ini membantu mengurangi sinyal palsu dibanding metode breakout biasa. ### ATR Adaptive Zone Width Lebar zona dapat disesuaikan menggunakan ATR Multiplier: * Nilai kecil = zona lebih sempit. * Nilai besar = zona lebih lebar. Cocok digunakan pada: * Forex * Gold (XAUUSD) * Indices * Crypto * Stocks ### Zone Management * Jumlah maksimum zona dapat diatur. * Zona lama akan dibersihkan secara otomatis. * Chart tetap ringan meskipun digunakan dalam jangka panjang. ### Alerts Tersedia alert untuk: * BUY Retest RBS * SELL Retest SBR ## Recommended Settings Scalping: * M1 – M5 * ATR Multiplier: 0.20 – 0.30 Intraday: * M15 – H1 * ATR Multiplier: 0.30 – 0.50 Swing: * H4 – Daily * ATR Multiplier: 0.50 – 1.00 ## Best Use Indikator ini bekerja sangat baik jika dikombinasikan dengan: * Market Structure (HH, HL, LH, LL) * Break of Structure (BOS) * Volume Analysis * Trend Confirmation * Smart Money Concepts (SMC) ## Disclaimer Indikator ini merupakan alat bantu analisis teknikal dan bukan merupakan saran investasi atau rekomendasi trading. Selalu gunakan manajemen risiko yang sesuai dengan strategi masing-masing.
Indicador Pine Script®
por trader9986
STWP Market MatrixOverview STWP Market Matrix is a multi-factor market dashboard designed to consolidate several commonly used technical concepts into a single visual framework. Most technical indicators focus on one aspect of market analysis, such as trend, volume, volatility, or support and resistance. STWP Market Matrix combines these factors into a structured dashboard so traders can evaluate market conditions from multiple perspectives without switching between several indicators. The objective is not to generate buy or sell signals, but to provide a quick and organized view of trend direction, participation, relative strength, volatility conditions, and key market reference levels. ________________________________________ Why This Indicator? Market decisions are often influenced by multiple factors rather than a single indicator. A stock may show a bullish trend but weak participation, strong volume but poor relative strength, or favorable structure while trading below key reference levels. STWP Market Matrix brings together: • Trend Analysis (EMA Structure) • VWAP Positioning • Buyer vs Seller Participation • Volume Assessment • Market Structure Analysis • Multi-Timeframe Confirmation • Relative Strength vs NIFTY • Daily Volume Context • Pivot Reference Levels • Volatility Assessment into one dashboard to help users evaluate these conditions simultaneously. ________________________________________ Dashboard Components Trend Trend is determined using Fast and Slow Exponential Moving Averages (EMA). Bullish: Fast EMA above Slow EMA Bearish: Fast EMA below Slow EMA This provides a simple directional bias. ________________________________________ VWAP Displays whether price is trading above or below the Volume Weighted Average Price (VWAP). VWAP is commonly used by traders to assess intraday strength and market positioning. ________________________________________ Buyers & Sellers These metrics evaluate the balance between bullish and bearish candle pressure. The goal is to provide a simple visual indication of whether buyers or sellers currently have greater influence on price movement. ________________________________________ Volume Current volume is compared against average volume to identify participation levels. Higher-than-average volume may indicate stronger market participation, while lower volume may suggest reduced activity. ________________________________________ Market State The indicator classifies market conditions into: Breakout Breakdown Range based on recent price structure and historical highs/lows. ________________________________________ Price Structure Price structure evaluates whether the market is producing: Higher Highs and Higher Lows Lower Highs and Lower Lows Sideways Conditions This provides additional context beyond simple trend analysis. ________________________________________ Multi-Timeframe Alignment The dashboard evaluates whether higher timeframe EMA conditions support the current chart timeframe. This helps identify whether trends are aligned across multiple timeframes. ________________________________________ Relative Strength (RS) Relative Strength compares the selected symbol against the NIFTY Index. Possible interpretations: Outperforming Underperforming This helps identify whether a symbol is displaying relative leadership or weakness compared to the broader market. ________________________________________ Daily Volume Daily volume is compared against its historical average to provide additional participation context. ________________________________________ Pivot Reference Framework The dashboard includes classic pivot calculations based on the previous trading session's: High Low Close Displayed levels include: Pivot R1 to R5 S1 to S5 These levels are intended as objective reference zones that may help identify potential areas of support, resistance, reaction, or expansion. The levels are not intended as price targets or predictions. ________________________________________ STWP Matrix Panel Grade A composite score derived from: Trend Alignment VWAP Position Volume Participation Relative Strength Multi-Timeframe Confirmation Grades range from D to A+. Higher grades indicate stronger alignment among the evaluated factors. ________________________________________ Flow Flow evaluates participation bias using candle position and volume behavior. Possible states: Accumulation Distribution Balanced ________________________________________ Energy Energy evaluates volatility conditions using: Bollinger Band Width Average True Range (ATR) Possible states: Building Normal Exploding This can help identify periods of contraction and expansion. ________________________________________ Risk Risk provides a simplified assessment of current market conditions using momentum and volatility characteristics. Possible states: Low Medium High ________________________________________ Opportunity Opportunity summarizes overall market conditions based on the dashboard's underlying factors. Possible states: Excellent Good Average Avoid This metric is intended to provide context and should not be interpreted as a trading recommendation. ________________________________________ Suggested Workflow A possible workflow for using the dashboard: Review Trend and VWAP alignment. Evaluate Market State and Price Structure. Check Relative Strength versus NIFTY. Assess volume participation. Review Pivot and Support/Resistance levels. Evaluate Grade, Flow, Energy, Risk, and Opportunity readings. Combine observations with personal analysis, trade planning, and risk management. ________________________________________ Limitations The indicator relies entirely on historical price and volume data. Pivot levels are reference zones and not guarantees of future market reactions. Relative Strength readings may vary across instruments and timeframes. Market conditions can change rapidly during periods of elevated volatility. No technical indicator can predict future price movement with certainty. The dashboard should be used as an analytical aid rather than a standalone decision-making system. ________________________________________ Disclaimer This script is provided strictly for educational and informational purposes. The indicator does not provide investment advice, research reports, trading recommendations, portfolio management services, or buy/sell calls. All calculations are derived from historical price and volume data and are intended solely to assist technical analysis. Users should conduct their own independent research, analysis, and risk assessment before making any trading or investment decisions. Past performance does not guarantee future results. Financial markets involve risk, and losses may occur. For users subject to SEBI regulations, this indicator should not be interpreted as a recommendation, solicitation, stock tip, investment advisory service, or research report. Any trading or investment decision remains solely the responsibility of the user. © Simple Trade With Patience (STWP)
Indicador Pine Script®
por simpletradewithpatience
Confirmed Fibonacci with Market StructureConfirmed Fibonacci with Market Structure -Description A Fibonacci retracement tool for trend-continuation setups. It draws only after price has confirmed a directional move through market structure, then locks the levels in place so the pullback zone stays where it was set. -What it does The script applies three conditions before it draws a retracement, and once it draws, the anchors are fixed until the setup is invalidated: - it requires a break of structure, not just any swing; - it requires the impulse to be large enough relative to recent volatility; - it can require agreement from the higher timeframe. The result is a small number of retracements, drawn on moves that have shifted structure, that stay in place once set. -How the detection works 1. Swing pivots. The script identifies swing highs and lows using pivot detection — a bar is a pivot high when it is the highest over a set number of bars to its left and right (the Pivot length input), and the reverse for a pivot low. These pivots define the prior swing and the structural reference levels. 2. Break of structure. For a bullish leg, the script takes the most recent prior swing low as the origin, then looks for an impulse high that trades above the last swing high formed before that low. Trading above that prior high is the break of structure — confirmation that buyers have shifted structure upward. The bearish case is the mirror image (a swing high origin, and an impulse low that breaks the prior swing low). 3. Displacement filter. The impulse is only accepted if its size (impulse high minus origin low) is at least a chosen multiple of ATR(14) — the Min displacement (ATR) input. Normalising to ATR judges a move on a quiet instrument and a volatile one on the same scale, and filters out small, insignificant structural breaks. 4. Draw timing. In Fast Draw mode the leg confirms on an asymmetric impulse pivot (fewer bars required to the right of the extreme), so the fib appears sooner after the high or low. With Fast Draw off, it instead waits for a completed pullback pivot before drawing — slower, but it only commits once a retracement is already underway. -The Fibonacci leg and golden zone When a bullish leg confirms, 0.0 is placed at the impulse high and 1.0 at the origin low, so the retracement levels measure how far price pulls back into the move (bearish legs are inverted). The shaded 0.618–0.786 band is the golden zone — the area where trend-continuation pullbacks commonly find support or resistance. A dashed line marks the broken structure level (BOS), and the impulse leg is labelled at its anchors (HH/HL for a bull leg, LH/LL for a bear leg). -Higher-timeframe bias The optional bias filter reads swing structure from the next standard timeframe up (for example, a 1-hour chart reads the 4-hour). That timeframe is rated bullish when its recent structure prints higher highs and higher lows, and bearish on lower highs and lower lows. With the filter on, the script only draws bullish legs in a bullish higher-timeframe context and bearish legs in a bearish one, and it clears the active leg if the higher timeframe flips against it. The request uses confirmed values with no lookahead. -Invalidation and refresh A bullish leg is invalidated when price closes below its origin low, with a small ATR buffer to absorb wicks; bearish legs mirror this. A leg is also cleared if it goes stale — when no new structure forms within a configurable number of bars. Until one of those happens, the anchors stay locked, so the levels on your chart are the same ones set when the leg confirmed. -How to use it This tool is built for trending markets and continuation trading, not ranges. The premise is simple: after a structure break and a displaced impulse, a trend often pauses and retraces before continuing in the same direction, and the golden zone is where that retracement commonly runs out of steam. - Trade with the leg, into the pullback. On a confirmed bullish leg, treat the 0.618–0.786 golden zone as a pullback entry zone for longs — you are looking to join the move as price retraces into it, not to fade it. On a bearish leg, the same zone is where you look for shorts as price pulls back up into it. - Use the higher-timeframe filter for alignment. Leaving HTF Bias on keeps you taking pullbacks in the direction of the larger trend, which is the context where continuation setups tend to hold up best. Turning it off shows every confirmed leg regardless of the bigger picture. - Anchor risk to the structure the tool already marks. The origin (the 1.0 level, where the leg began) is the natural invalidation — a close back through it means the continuation idea has failed, which is also when the script clears the leg. Targets are typically toward the impulse extreme or beyond it. The BOS line shows the level whose break confirmed the move. - Read the zone, don't blindly buy or sell it. The golden zone is an area of interest, not a trigger. Wait for your own confirmation inside it — a reaction candle, a lower-timeframe shift in structure, or whatever you normally use — before committing. - The golden zone isn't the only level worth watching. Shallower retracements such as the 0.382 or the 0.500 often hold in strong trends that don't pull back far, while the deeper 0.618–0.786 zone tends to come into play on bigger retracements. Different instruments and timeframes react at different levels, so test which ones your pairs respect and toggle the levels you don't use off to keep the chart clean. - Filter the chop. In ranging or low-momentum conditions a structure break is more likely to fail. Raise Min displacement (ATR) so the tool only draws on decisive moves, and set Pivot length to suit the timeframe (suggested starting points are in each input's tooltip). -Inputs -Structure - Fast Draw (default on). On, the retracement is drawn as soon as the impulse, break of structure and displacement all confirm — the earliest possible draw. Off, it waits for a completed pullback pivot before drawing, which is slower but only commits once a retracement is already under way. Turning it off gives later but more conservative entries. - Pivot length (default 8). Bars to the left and right used to confirm the structural swing highs and lows that define the prior swing and the break-of-structure reference. Higher values track larger, slower swings and draw fewer legs; lower values react to smaller swings and draw more. Rough starting points: 18 on 15m, 8 on 1h, 4 on 4h, 3 on daily. - Impulse pivot R (default 3, Fast Draw only). The number of bars required to the right of the impulse extreme before it is accepted. Lower confirms the leg sooner after the high or low; higher waits for more confirmation, so the leg draws later but the extreme is more settled. - Pullback pivot length (default 2, used only when Fast Draw is off). Bars left and right for the pullback pivot the script waits on before drawing. Lower draws faster on shallower pullbacks; higher requires a deeper, more developed pullback first. - Min displacement (ATR) (default 1.5). The minimum impulse size, measured in ATR(14) units, before a structure break counts. Raising it ignores small moves and only draws on decisive ones; lowering it draws on smaller breaks too. As a guide: 0 accepts any impulse, 1.0 is modest, 1.5 is meaningful, 2.5 and up captures only major moves. - Invalidation buffer (ATR) (default 0.25). A tolerance, in ATR(14) units, added beyond the origin before the leg is invalidated, so a single wick through the level doesn't cancel the setup. Higher gives the trade more room before it's cleared; lower invalidates more strictly. - Max leg age (bars) (default 150). If no new structure forms within this many bars, the leg is treated as stale and cleared. Lower keeps only fresh setups on the chart; higher lets a quiet leg persist longer. - Pivots retained (default 15). How many recent pivots the script keeps in memory to look back through when building a sequence. Higher allows it to reference older swings; lower keeps it focused on the most recent structure. Mostly affects edge cases — the default suits most charts. HTF Bias - Use HTF bias filter (default on). When on, the script only draws legs that agree with the higher-timeframe trend and clears a leg if that timeframe flips against it. Turning it off shows every confirmed leg regardless of the larger trend. - HTF pivot length (default 3). Bars left and right used to read swing structure on the higher timeframe. Higher reads a broader, slower higher-timeframe trend; lower makes the bias more responsive. Fib Levels - 0.000 to 1.000 toggles. Switch each standard retracement level on or off independently, so you can show only the ones you trade. - Custom level (default off, 0.75). Enables one extra level at a ratio you choose, with its own colour — useful for a level such as 0.705 or 0.79 that sits outside the standard set. Drawn alongside the standard levels. Visual - Colour Theme (default "Default"). Sets the dashboard colours and the fib line colour. Ten themes are included; purely cosmetic. - 0.500 line color, Golden zone fill, Golden zone edge, Impulse line color, BOS line/label color. Individual colour controls for those specific elements, so you can tune contrast against your chart. - Show BOS line + label (default on). Draws the dashed line at the broken structure level with a "BOS" tag. Off hides it for a cleaner chart. - Show impulse line (default on). Draws the dashed line connecting the two anchors of the leg. - Extend right (default on). Extends the level lines to the right of the current bar so they project forward; off ends them at the current bar. - Price labels (default on). Shows the price value beside each level. - Anchor markers (default on). Labels the two anchor points (HH/HL or LH/LL) of the leg. - Info panel (default on). Shows the dashboard with structure state, higher-timeframe bias, anchor prices and how long ago the impulse confirmed. Alerts - Alert on new fib drawn (default on). Fires when a new bullish or bearish leg is drawn. - Alert on Golden Zone touch (default on). Fires the first time price touches the golden zone of the active leg. **Notes** Swing pivots confirm a fixed number of bars after the actual high or low, so a leg appears after that confirmation delay rather than at the exact extreme — this is inherent to pivot-based detection. Once drawn, anchors are locked and do not move. The higher-timeframe bias uses confirmed values without lookahead, so it does not repaint on historical bars, though like any higher-timeframe data it can update within a forming higher-timeframe bar in real time. These levels are decision support, not buy or sell signals. **Disclaimer** This indicator is for educational and informational purposes only and is not financial or investment advice. Past performance does not guarantee future results. Always do your own analysis and manage your own risk.
Indicador Pine Script®
por ukalgorithms
1
OMSF Learning SpaceWelcome to the Omsf Learning Space. This is not a commercial "holy grail" indicator, nor is it a rigid, corporate course. This is my personal sandbox and educational archive where I dissect market structure, breakout mechanics, and reversal setups. THE CORE PHILOSOPHY: Everything in this space is built upon my Omsf (Objective Market Structure Framework). Whether you are a beginner trying to understand how charts breathe, or an advanced trader looking for mechanical rules – this space is designed to give you a clear, visual reality check. WHAT TO EXPECT: This script is dynamic and will change organically over time. As I publish new trading ideas, research notes, or structural concepts, this indicator will adapt. Old parts might get swapped out, new experiments will be added, or it might evolve into a v2.0 down the road. There is no fixed schedule. It updates when it updates. CURRENT VERSION (Launch): Right now, we are looking at the foundational mechanics: Classic, rigid Pivots alongside the dynamic volatility adjustment of the Omsf. - Toggle "Exercise 1" to stress-test both engines in the configuration sandbox. - Toggle "Outlook" to see how classic Pivots perform when taken literally as a trend filter. Enjoy the sandbox, play with the parameters, and use the Bar Replay. See you in the ideas section! — arni
Indicador Pine Script®
por arnipoer
3
Auto TrendLine Intelligence [BOS+CHoCH+FVG] [Rehan Khanani]================================================================ AUTO TRENDLINE INTELLIGENCE ================================================================ Auto TrendLine Intelligence is a professional-grade, institutional-level technical analysis indicator built for traders who think and operate like smart money. It combines automatic trend line detection with full Smart Money Concepts — BOS, CHoCH, and FVG — into one clean, powerful overlay. This is not just a trend line tool. It is a complete market structure analysis system that tells you what the market is doing, why it is doing it and exactly where to enter, exit, and place your stop-loss. ================================================================ HOW IT WORKS ================================================================ The indicator runs five analytical engines simultaneously on every bar: ENGINE 1 — AUTOMATIC TREND LINE DETECTION The indicator automatically detects the most recent swing highs and swing lows using a pivot-based algorithm, then draws two types of trend lines in real time without any manual input: Major Trend Lines (solid): Connect significant swing highs and swing lows using the full pivot lookback length. These represent the dominant structural trend and carry the highest weight for trading decisions. Minor Trend Lines (dashed): Connect shorter-term pivots using a reduced lookback period. These represent intraday or near-term structure and are useful for precise entry timing. Both lines update automatically as new pivots form. No manual drawing, no redrawing, no guesswork. ENGINE 2 — BREAK OF STRUCTURE (BOS) A Break of Structure is a continuation signal. It occurs when price convincingly breaks above a previous swing high (bullish BOS) or below a previous swing low (bearish BOS), confirming that the current trend is likely to continue. Bullish BOS: price closes above the last confirmed swing high — signals trend continuation to the upside. Bearish BOS: price closes below the last confirmed swing low — signals trend continuation to the downside. BOS labels appear directly on the chart at the point of the break. ENGINE 3 — CHANGE OF CHARACTER (CHoCH) A Change of Character is a reversal signal — the first indication that the current trend may be ending and a new one beginning. It is the most important signal in Smart Money analysis. Bullish CHoCH: in a confirmed downtrend (lower highs, lower lows), price breaks above a recent lower high for the first time — this signals a potential reversal to the upside. Bearish CHoCH: in a confirmed uptrend (higher highs, higher lows), price breaks below a recent higher low for the first time — this signals a potential reversal to the downside. CHoCH labels are clearly marked on the chart and distinguished from BOS. ENGINE 4 — FAIR VALUE GAP (FVG) Fair Value Gaps are imbalance zones left behind by aggressive institutional buying or selling. Price frequently returns to these zones to rebalance before continuing in the original direction. Bullish FVG: a gap between the high of the candle two bars ago and the low of the current candle — shown as a teal shaded zone. Bearish FVG: a gap between the low of the candle two bars ago and the high of the current candle — shown as a red shaded zone. FVG boxes automatically disappear when price returns to fill the gap (mitigation), keeping the chart clean at all times. ENGINE 5 — LIQUIDITY ZONES Equal highs and equal lows represent areas where institutional stop orders and limit orders are clustered. The indicator detects when two recent pivot highs or lows are at approximately the same price level and marks them with a dotted yellow line — highlighting where liquidity is likely to be swept before a major move. ================================================================ ENTRY SIGNAL SYSTEM (MULTI-FILTER CONFLUENCE) ================================================================ LONG and SHORT entry signals are generated only when ALL of the following conditions align simultaneously — ensuring institutional-grade signal quality: For a LONG signal: 1. Price touches or approaches the support trend line within ATR buffer 2. Price is above the EMA 200 (bullish market bias confirmed) 3. RSI is not in overbought territory (momentum not exhausted) 4. Volume is above the 20-period average (institutional participation) 5. Candle closes bullish (price accepts support level) For a SHORT signal: 1. Price touches or approaches the resistance trend line within ATR buffer 2. Price is below the EMA 200 (bearish market bias confirmed) 3. RSI is not in oversold territory (momentum not exhausted) 4. Volume is above the 20-period average (institutional participation) 5. Candle closes bearish (price rejects resistance level) This five-layer confluence model ensures you only take trades where structure, trend, momentum, and volume all agree. ================================================================ AUTOMATIC TP1 / TP2 / SL LEVELS ================================================================ Every entry signal automatically plots: Stop Loss: placed below/above the entry using ATR multiplier (default 1.5x ATR) Take Profit 1 (TP1): at 50% of the full RR target — for partial exits Take Profit 2 (TP2): at full Risk:Reward ratio target (default 2:1 RR) All three levels are drawn as dashed lines directly on the chart with exact price labels so you never have to calculate manually. ================================================================ INSTITUTIONAL DASHBOARD — 12 DATA POINTS ================================================================ A professional real-time dashboard is displayed in the corner of your chart showing: 1. Market Bias — BULLISH or BEARISH based on EMA 200 position 2. Market Structure — Higher Highs/Lows | Lower Highs/Lows | Consolidation 3. EMA Stack — Bullish Stack | Bearish Stack | Mixed 4. RSI Reading — Exact value + zone (Overbought / Oversold / Neutral) 5. Volume Status — High Volume | Above Average | Below Average 6. ATR Value — Current ATR for volatility awareness 7. Support TL — Projected support trend line price at current bar 8. Resistance TL — Projected resistance trend line price at current bar 9. Fair Value Gap — Bullish FVG | Bearish FVG | None 10. SMC Event — Latest BOS or CHoCH event detected 11. Signal Status — LONG ENTRY | SHORT ENTRY | WATCHING Dashboard position is fully adjustable: Top Right, Top Left, Bottom Right, or Bottom Left. ================================================================ FULL FEATURE LIST ================================================================ Automatic Features (Zero Manual Work Required): - Auto major trend lines from pivot highs and lows - Auto minor trend lines from shorter-term pivots - Auto BOS detection and labeling - Auto CHoCH detection and labeling - Auto FVG zone drawing and auto-removal on mitigation - Auto liquidity zone detection (equal highs / equal lows) - Auto TP1, TP2, SL calculation and plotting on every signal - Auto dashboard with 11 live market readings Filters and Controls: - EMA 200 trend direction filter - EMA 50 for stack analysis - RSI momentum filter (adjustable OB/OS levels) - Volume spike filter (adjustable multiplier) - ATR-based signal sensitivity buffer - All filters individually toggleable Visual Controls: - Major and minor trend line toggle - Individual color pickers for all line types - Line width control (1 to 5) - Extend lines right toggle - FVG transparency control - Dashboard position selector Alert Conditions (9 Total): 1. LONG Entry Signal 2. SHORT Entry Signal 3. Any Entry Signal 4. Bullish BOS 5. Bearish BOS 6. Bullish CHoCH 7. Bearish CHoCH 8. Bullish FVG detected 9. Bearish FVG detected ================================================================ SETTINGS GUIDE ================================================================ Group 1 — Trend Line Settings Pivot Lookback Length: Controls how significant a swing must be to form a trend line. Default is 10. Lower values (5-7) give more frequent lines suitable for scalping. Higher values (15-20) give fewer but stronger structural lines suitable for swing and position trading. Show Major Trend Lines: Toggle the primary solid trend lines on/off. Show Minor Trend Lines: Toggle the secondary dashed trend lines on/off. Extend Lines Right: Extends all lines to the right edge of the chart. Major Line Width: Visual thickness of major trend lines (1 to 5). Color pickers: Customize all four line types independently. Group 2 — Smart Money Concepts Show BOS: Toggle Break of Structure labels on/off. Show CHoCH: Toggle Change of Character labels on/off. Show FVG: Toggle Fair Value Gap boxes on/off. Show Liquidity Zones: Toggle equal high/low dotted lines on/off. FVG Transparency: Adjust how opaque or subtle the FVG boxes appear. Group 3 — Signal and Entry Settings ATR Length: Period for ATR calculation (default 14). ATR Buffer Multiplier: How close price must come to the trend line to trigger a signal. Lower = stricter, higher = more relaxed. Stop Loss ATR Multiplier: Distance of SL from entry in ATR units. Risk Reward Ratio: Multiplier applied to the SL distance to set TP2. Show TP/SL on Chart: Toggle the TP1, TP2, SL lines on/off. Group 4 — Volume and Momentum Filter Enable Volume Filter: When on, signals only fire on above-average volume. Volume Spike Multiplier: Threshold multiplier over 20-period volume MA. Enable RSI Filter: When on, blocks signals in exhausted momentum zones. RSI Length, Overbought, Oversold: Standard RSI parameters. Group 5 — Dashboard Show Dashboard: Toggle the entire dashboard panel on/off. Dashboard Position: Place it in any corner of the chart. ================================================================ HOW TO USE — STEP BY STEP ================================================================ Step 1 — Check the Dashboard Before looking at any signal, check the dashboard. Confirm Market Bias, Structure, and EMA Stack all point in the same direction. Trade only when at least two of the three agree. Step 2 — Identify the Trend Lines Watch where the major trend lines are relative to current price. The support line (teal/blue) and resistance line (red) define your trading range and structural boundaries. Step 3 — Wait for SMC Confluence Before entering on a trend line touch, check whether a CHoCH has recently occurred in your direction. A CHoCH near a trend line is one of the highest-probability setups this indicator generates. Step 4 — Watch for FVG Zones If a Fair Value Gap is present near the trend line, this adds further confluence. Institutional traders frequently use FVG zones as entry triggers. Step 5 — Enter on Signal When a LONG or SHORT label appears, all five filters have aligned. Enter at the close of the signal candle. Your TP1, TP2, and SL levels will appear automatically on the chart. Step 6 — Manage the Trade Consider taking partial profits at TP1 (50% of position) and letting the remainder run to TP2. Move stop loss to breakeven after TP1 is hit. Step 7 — Set Alerts Use the 9 built-in alert conditions to be notified of signals and SMC events without watching the chart constantly. ================================================================ RECOMMENDED TIMEFRAMES ================================================================ Scalping: 1 minute, 5 minutes (Pivot Length 5-7) Intraday: 15 minutes, 30 minutes, 1 Hour (Pivot Length 8-10) Swing Trading: 4 Hour, Daily (Pivot Length 10-15) Position Trading: Weekly (Pivot Length 15-20) The indicator automatically adapts to any timeframe. Only the Pivot Lookback Length needs to be adjusted based on your trading style. ================================================================ COMPATIBLE MARKETS ================================================================ This indicator works on all liquid markets available on TradingView: Forex: All major, minor, and exotic currency pairs Crypto: Bitcoin, Ethereum, and all altcoins Commodities: Gold (XAUUSD), Silver (XAGUSD), Oil (WTI, Brent) Indices: S&P 500, NASDAQ, Dow Jones, FTSE, DAX, Nikkei Stocks: Any individual equity with sufficient volume Futures: All futures contracts available on TradingView ================================================================ WHO CAN USE THIS INDICATOR ================================================================ Beginner Traders: The dashboard and automatic signals remove the need for manual analysis. Beginners can use the LONG and SHORT labels as guided entry points while learning how the underlying concepts work. Intermediate Traders: Use the BOS and CHoCH labels to understand market structure shifts and combine them with trend line touches for high-confluence entries. The FVG zones add an additional layer for precise entry timing. Advanced and Professional Traders: Use the full system as an institutional-grade market structure scanner. Combine BOS, CHoCH, FVG, and liquidity zones with your own HTF bias for a complete multi-confluence trading framework. The volume and RSI filters can be tuned precisely to your strategy requirements. Algorithmic and Systematic Traders: All 9 alert conditions can be connected to TradingView webhooks for automated notification systems or strategy integration. Portfolio Managers and Analysts: The dashboard provides a rapid one-glance market assessment across any asset — useful for screening multiple instruments quickly. ================================================================ IMPORTANT DISCLAIMER ================================================================ Auto TrendLine Intelligence is a technical analysis tool designed to support trading decisions. It does not guarantee future results. All trading involves risk. Always apply proper risk management, use appropriate position sizing, and conduct your own due diligence before entering any trade. Past signal performance is not indicative of future results. This indicator is not financial advice.
Indicador Pine Script®
por rehankhanani
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